TreatmentMAP
TreatmentMAP supports physicians in optimizing their treatment decisions, even for cancer patients in advanced stages of cancer, or when all of the standard treatment options for a patient have been exhausted.
InnVentis provides precision medicine through analyzing personal molecular profiles derived from multi-omics data and the internet of things to recommend diets and supplements personalized to each individual's daily schedule.
Precision medicine represents a shift from symptom-based and intuition-based medicine of the past to a data-driven approach using an individual's molecular and genomic data to guide prevention, diagnosis, and treatment decisions. By applying rules, algorithms and reference databases to integrate multiple types of data such as molecular fingerprints, imaging, and non-molecular content, precision medicine enables actionable clinical decision support and precise, efficient care tailored to each individual.
The reality of moving towards precision medicineElia Stupka
油
How do we move towards precision medicine? How can we deliver on the big data in health promise? Who will be the enablers and players? Pharma, Big Tech, or newcomers?
Precision Medicine is now a funded NIH initiative and an organic movement in the clinic and at the research institute. Based on work with Genomics England, multiple large pharmaceutical firms, and research hospitals, attendees will learn about the best practices for epidemiology, signal detection, research, and the clinical diagnostics associated with Precision Medicine, including the development of high-scale bio-repositories that link traditional patient data with genomic information. Come hear about how leadership, collaboration, consent, and compute can lead to success or failure in your Precision Medicine initiative, and how to bring your stakeholders together for an aligned mission response.
Thomas Willkens-El impacto de las ciencias 坦micas en la medicina, la nutrici坦...Fundaci坦n Ram坦n Areces
油
El 29 de marzo de 2016 celebramos un Simposio Internacional sobre el 'Impacto de las ciencias 坦micas en la medicina, nutrici坦n y biotecnolog鱈a'. Organizado por la Fundaci坦n Ram坦n Areces en colaboraci坦n con la Real Academia Nacional de Medicina y BioEuroLatina, abord坦 c坦mo un mejor conocimiento del genoma humano est叩 permitiendo notables avances hacia una medicina de precisi坦n.
The document discusses opportunities for improving healthcare through precision medicine and integrating genomic and quantified self data. It identifies several pain points in the current healthcare system such as inefficient appointments and a lack of preventative care. Interviews with patients and providers revealed that neither group fully understands genetic data and they desire more participation. The aim is to present a vision for how genomic data could influence health services through opportunities like providing actionable steps based on genetic counseling, combining family history with genomic data, and enabling preventative health measures from a young age.
Transctriptional Science aims to re-evaluate existing data in the context of the translational sciences paradim in order to secure reliability and validity of data used for hypothesis generation, project design and decision making at a highest possible level of confidence
Genome sequencing technology available today can accurately sequence a whole genome from an individuals test sample for a surprisingly low cost.
As a result, the adoption of this technology is rapidly expanding as medical centers around the world embrace its utility in informing healthcare decisionsan emerging reality of personalized medicine.
The document discusses the emerging field of precision medicine and how it represents a shift from symptom-based to evidence-based to personalized medicine. Precision medicine utilizes large datasets including multi-omics data, imaging, and other clinical data combined with machine learning algorithms and reference databases to generate personalized molecular profiles and enable targeted prevention and treatment. Key to realizing precision medicine's potential is establishing standards, processes, and reference databases to facilitate large-scale data analysis and ensure results can be reproduced.
From Bits to Bedside: Translating Big Data into Precision Medicine and Digita...Dexter Hadley
油
Lecture Objectives:
1) To use examples from my research to define and introduce the ideals of precision medicine and digital health. 2) To introduce how large scale population-wide analysis of data can be used to facilitate these two ideals. 3) To introduce how freely available open data can be used to facilitate these two ideals. 4) To show how mobile technology can be used to facilitate these two ideals.
Is the increasing availability of automated image analysis a possibility to strengthen the application of diffusion-MRI as a biometric parameter, and to enhance the future of image biobanks? Or is this evolution threatening the position of radiologists as medical doctors. Is a redefinition of radiologist as computer technicians inevitable?
Our classification technique uses a deep CNN to classify skin lesions. An image is warped through the CNN architecture into a probability distribution over clinical skin disease classes. The CNN was pretrained on a large generic image dataset and fine-tuned on a dataset of over 129,000 skin lesions spanning 2,032 diseases. Data integration from multiple sources is key to future digital medicine, but challenges include data quality, availability, and privacy. Techniques like distributed learning models and homomorphic encryption can help address privacy concerns while enabling large-scale data sharing and analysis.
Ethical, Legal, and Social Implications of ELSI Learning Health Systems 2017 Conference, University of Michigan. Learning from the experience and outcomes of every cancer patient
Personalized Medicine with IBM-Watson: Future of Cancer carejetweedy
油
Watson for Genomics uses IBM's Watson cognitive computing system to help personalize cancer care. It analyzes genomic sequencing data and clinical records to provide treatment suggestions and clinical trial matches for patients in minutes, compared to weeks for traditional approaches. Researchers are finalizing the algorithm and testing it in clinical trials. Watson draws from a large corpus of medical literature and patient data to understand questions, generate hypotheses, and provide evidence to support its answers. It could help reduce health professionals' workload and improve access to care, though challenges remain in developing the algorithm and acquiring sufficient data sets.
Personalized Medicine: The Future is Almost HereHannes Sm叩rason
油
The document discusses how genome sequencing is becoming integrated into medical care, enabling personalized medicine. It describes how genome sequencing costs have plummeted in the last decade, allowing for widespread application. Major medical centers are now installing DNA sequencers and adopting genome sequencing to define ideal treatments tailored to a patient's genes. The future of medicine is moving towards routinely sequencing every patient's genome to personalize prevention and treatment.
Opportunities for computing in cancer researchWarren Kibbe
油
- Data generation is no longer the bottleneck in oncology research - data management, analysis, and reasoning present greater challenges due to the pace of data and technology growth.
- Computing and data science are enabling researchers to move beyond simple observations to predictive modeling and interventions based on understanding complex patient trajectories over time using diverse real-world data sources.
- Machine learning and data analytics applied at scale can support tasks like tumor board decision making, identifying high-risk patients, and understanding disease at multiple levels, but require significant computing power.
Hannes Smarason: 2015 = An Inflection Point in GenomicsHannes Sm叩rason
油
This document discusses how 2015 marked a turning point for genomics and personalized medicine on a global scale. It highlights that rare diseases are an area where genomics has significantly advanced diagnosis by making testing available worldwide. Many countries now have active programs to diagnose rare diseases using genomic sequencing. The document also notes that governments around the world are increasingly supporting genomics research and initiatives to scale up the use of genomic data to improve healthcare.
This document discusses perspectives on data science and cancer informatics from Warren Kibbe, Chief Data Officer at Duke Cancer Institute. It outlines how changes in computing, oncology, and society are driving new opportunities and challenges. Specifically, it notes that (1) advances in technology and availability of detailed patient data have enabled precision oncology approaches; (2) team science and open data are critical to solving cancer problems at large scale; and (3) machine learning shows promise but requires large, well-annotated datasets to build accurate predictive models.
The roles of a medical technologist from the covid 19 pandemicStephanieCabelin1
油
The document discusses the roles of medical technologists during the COVID-19 pandemic. It describes how artificial intelligence and medical technology devices have helped in areas like health information exchange, data science, surveillance, diagnosis, and service delivery. AI has assisted with tasks like contact tracing, risk screening, spread prediction, and image-based diagnosis. Intelligent robots using sensor fusion and other technologies have helped with services like disinfection, food/medicine delivery, and relieving pressure on healthcare workers. As health systems adapt to the pandemic, digital transformation and new medical technologies will become more commonplace.
Data sharing drivers in precision oncology, biomedical research, and healthcare. Accelerating discovery, innovation, providing credit for all stakeholders - patients, researchers, care providers, payers.
Hannes smarason next code-wuxi combined technologiesHannes Sm叩rason
油
Lower-cost genome sequencing has reached a point of strong commercial viability. The remaining 2 legs of the 3-legged stool of genomics-enabling technologies genomic analysis tools database storageare rapidly evolving to support the use of genomic information in medical care.
1) AI systems like Adam and Eve have discovered new scientific knowledge by autonomously generating and testing hypotheses about yeast genes using public databases and laboratory experiments.
2) AI is being applied throughout the drug development process, including target identification, compound design and synthesis, clinical trial optimization, and drug repurposing.
3) Partnerships between pharmaceutical companies and AI firms are exploring applications like generating new immuno-oncology treatments, metabolic disease therapies, and cancer treatments through large-scale data analysis.
Hannes Smarason: Progress & Prospects in GenomicsHannes Sm叩rason
油
The annual American Society of Human Genetics Meeting (ASHG 2016) is an excellent time for the field of genomics to take stock of the past and clarify our perspectives for the future.
Mesa Biotech develops rapid molecular diagnostic tests that can detect infectious diseases in 30 minutes or less using a low-cost, disposable cassette and palm-sized reusable dock. Their proprietary technology provides qualitative results that enable clinicians to make timely treatment decisions. Mesa Biotech aims to improve human, animal, and plant health by expanding their portfolio to test for additional respiratory, gastrointestinal, and sexually transmitted infections. Their platform can also rapidly and accurately test for foodborne pathogens and genetically modified organisms.
Frontiers of Predictive Oncology and ComputingWarren Kibbe
油
This document discusses the frontiers of computing and predictive oncology. It provides background on the speaker and changes in computing and oncology driven by improved technology and data availability. Cancer is now defined more by underlying molecular characteristics than anatomy. Team science and open data are critical to build predictive models from large datasets and present analysis and results in a timely, human-friendly way to support treatment decisions. Key challenges include improving interoperability, validating algorithms, scaling infrastructure for large data, and reducing cognitive load in data presentation to aid decision making.
IMS Health RWES: The Future of Real-World Insights in CancerIMSHealthRWES
油
The document discusses IMS Health's real-world evidence solutions for cancer, including their cancer data ecosystem. The ecosystem combines various real-world data sources like medical claims, EMR data, and genomic data from over 15 million anonymous cancer patients. It provides comprehensive insights through innovative analytics to help address challenges across the cancer care continuum for clinicians, payers, pharmaceutical companies, patients, and advocacy groups.
Connected Health & Me - Matic Meglic - Nov 24th 2014ipposi
油
This document discusses how data sharing is changing healthcare by empowering patients. It outlines a shift from a traditional care model, where patients are passive recipients of care, to one where patients are engaged and empowered through access to their own health data and contextual knowledge. Key drivers of this change include affordable technology, the quantified self-movement, big data, and empowered patients. The document discusses how patient registries and personalized medicine can utilize data to better understand treatment efficacy for similar patients and provide personalized care plans. It also notes challenges around data privacy and the need for guidelines. Overall, the document advocates for empowering patients through access to their own health data while using data and technology to coordinate and improve healthcare.
Genome sequencing technology available today can accurately sequence a whole genome from an individuals test sample for a surprisingly low cost.
As a result, the adoption of this technology is rapidly expanding as medical centers around the world embrace its utility in informing healthcare decisionsan emerging reality of personalized medicine.
The document discusses the emerging field of precision medicine and how it represents a shift from symptom-based to evidence-based to personalized medicine. Precision medicine utilizes large datasets including multi-omics data, imaging, and other clinical data combined with machine learning algorithms and reference databases to generate personalized molecular profiles and enable targeted prevention and treatment. Key to realizing precision medicine's potential is establishing standards, processes, and reference databases to facilitate large-scale data analysis and ensure results can be reproduced.
From Bits to Bedside: Translating Big Data into Precision Medicine and Digita...Dexter Hadley
油
Lecture Objectives:
1) To use examples from my research to define and introduce the ideals of precision medicine and digital health. 2) To introduce how large scale population-wide analysis of data can be used to facilitate these two ideals. 3) To introduce how freely available open data can be used to facilitate these two ideals. 4) To show how mobile technology can be used to facilitate these two ideals.
Is the increasing availability of automated image analysis a possibility to strengthen the application of diffusion-MRI as a biometric parameter, and to enhance the future of image biobanks? Or is this evolution threatening the position of radiologists as medical doctors. Is a redefinition of radiologist as computer technicians inevitable?
Our classification technique uses a deep CNN to classify skin lesions. An image is warped through the CNN architecture into a probability distribution over clinical skin disease classes. The CNN was pretrained on a large generic image dataset and fine-tuned on a dataset of over 129,000 skin lesions spanning 2,032 diseases. Data integration from multiple sources is key to future digital medicine, but challenges include data quality, availability, and privacy. Techniques like distributed learning models and homomorphic encryption can help address privacy concerns while enabling large-scale data sharing and analysis.
Ethical, Legal, and Social Implications of ELSI Learning Health Systems 2017 Conference, University of Michigan. Learning from the experience and outcomes of every cancer patient
Personalized Medicine with IBM-Watson: Future of Cancer carejetweedy
油
Watson for Genomics uses IBM's Watson cognitive computing system to help personalize cancer care. It analyzes genomic sequencing data and clinical records to provide treatment suggestions and clinical trial matches for patients in minutes, compared to weeks for traditional approaches. Researchers are finalizing the algorithm and testing it in clinical trials. Watson draws from a large corpus of medical literature and patient data to understand questions, generate hypotheses, and provide evidence to support its answers. It could help reduce health professionals' workload and improve access to care, though challenges remain in developing the algorithm and acquiring sufficient data sets.
Personalized Medicine: The Future is Almost HereHannes Sm叩rason
油
The document discusses how genome sequencing is becoming integrated into medical care, enabling personalized medicine. It describes how genome sequencing costs have plummeted in the last decade, allowing for widespread application. Major medical centers are now installing DNA sequencers and adopting genome sequencing to define ideal treatments tailored to a patient's genes. The future of medicine is moving towards routinely sequencing every patient's genome to personalize prevention and treatment.
Opportunities for computing in cancer researchWarren Kibbe
油
- Data generation is no longer the bottleneck in oncology research - data management, analysis, and reasoning present greater challenges due to the pace of data and technology growth.
- Computing and data science are enabling researchers to move beyond simple observations to predictive modeling and interventions based on understanding complex patient trajectories over time using diverse real-world data sources.
- Machine learning and data analytics applied at scale can support tasks like tumor board decision making, identifying high-risk patients, and understanding disease at multiple levels, but require significant computing power.
Hannes Smarason: 2015 = An Inflection Point in GenomicsHannes Sm叩rason
油
This document discusses how 2015 marked a turning point for genomics and personalized medicine on a global scale. It highlights that rare diseases are an area where genomics has significantly advanced diagnosis by making testing available worldwide. Many countries now have active programs to diagnose rare diseases using genomic sequencing. The document also notes that governments around the world are increasingly supporting genomics research and initiatives to scale up the use of genomic data to improve healthcare.
This document discusses perspectives on data science and cancer informatics from Warren Kibbe, Chief Data Officer at Duke Cancer Institute. It outlines how changes in computing, oncology, and society are driving new opportunities and challenges. Specifically, it notes that (1) advances in technology and availability of detailed patient data have enabled precision oncology approaches; (2) team science and open data are critical to solving cancer problems at large scale; and (3) machine learning shows promise but requires large, well-annotated datasets to build accurate predictive models.
The roles of a medical technologist from the covid 19 pandemicStephanieCabelin1
油
The document discusses the roles of medical technologists during the COVID-19 pandemic. It describes how artificial intelligence and medical technology devices have helped in areas like health information exchange, data science, surveillance, diagnosis, and service delivery. AI has assisted with tasks like contact tracing, risk screening, spread prediction, and image-based diagnosis. Intelligent robots using sensor fusion and other technologies have helped with services like disinfection, food/medicine delivery, and relieving pressure on healthcare workers. As health systems adapt to the pandemic, digital transformation and new medical technologies will become more commonplace.
Data sharing drivers in precision oncology, biomedical research, and healthcare. Accelerating discovery, innovation, providing credit for all stakeholders - patients, researchers, care providers, payers.
Hannes smarason next code-wuxi combined technologiesHannes Sm叩rason
油
Lower-cost genome sequencing has reached a point of strong commercial viability. The remaining 2 legs of the 3-legged stool of genomics-enabling technologies genomic analysis tools database storageare rapidly evolving to support the use of genomic information in medical care.
1) AI systems like Adam and Eve have discovered new scientific knowledge by autonomously generating and testing hypotheses about yeast genes using public databases and laboratory experiments.
2) AI is being applied throughout the drug development process, including target identification, compound design and synthesis, clinical trial optimization, and drug repurposing.
3) Partnerships between pharmaceutical companies and AI firms are exploring applications like generating new immuno-oncology treatments, metabolic disease therapies, and cancer treatments through large-scale data analysis.
Hannes Smarason: Progress & Prospects in GenomicsHannes Sm叩rason
油
The annual American Society of Human Genetics Meeting (ASHG 2016) is an excellent time for the field of genomics to take stock of the past and clarify our perspectives for the future.
Mesa Biotech develops rapid molecular diagnostic tests that can detect infectious diseases in 30 minutes or less using a low-cost, disposable cassette and palm-sized reusable dock. Their proprietary technology provides qualitative results that enable clinicians to make timely treatment decisions. Mesa Biotech aims to improve human, animal, and plant health by expanding their portfolio to test for additional respiratory, gastrointestinal, and sexually transmitted infections. Their platform can also rapidly and accurately test for foodborne pathogens and genetically modified organisms.
Frontiers of Predictive Oncology and ComputingWarren Kibbe
油
This document discusses the frontiers of computing and predictive oncology. It provides background on the speaker and changes in computing and oncology driven by improved technology and data availability. Cancer is now defined more by underlying molecular characteristics than anatomy. Team science and open data are critical to build predictive models from large datasets and present analysis and results in a timely, human-friendly way to support treatment decisions. Key challenges include improving interoperability, validating algorithms, scaling infrastructure for large data, and reducing cognitive load in data presentation to aid decision making.
IMS Health RWES: The Future of Real-World Insights in CancerIMSHealthRWES
油
The document discusses IMS Health's real-world evidence solutions for cancer, including their cancer data ecosystem. The ecosystem combines various real-world data sources like medical claims, EMR data, and genomic data from over 15 million anonymous cancer patients. It provides comprehensive insights through innovative analytics to help address challenges across the cancer care continuum for clinicians, payers, pharmaceutical companies, patients, and advocacy groups.
Connected Health & Me - Matic Meglic - Nov 24th 2014ipposi
油
This document discusses how data sharing is changing healthcare by empowering patients. It outlines a shift from a traditional care model, where patients are passive recipients of care, to one where patients are engaged and empowered through access to their own health data and contextual knowledge. Key drivers of this change include affordable technology, the quantified self-movement, big data, and empowered patients. The document discusses how patient registries and personalized medicine can utilize data to better understand treatment efficacy for similar patients and provide personalized care plans. It also notes challenges around data privacy and the need for guidelines. Overall, the document advocates for empowering patients through access to their own health data while using data and technology to coordinate and improve healthcare.
New Disruptive Technology Helps CROs and Pharma Accelerate Oncology-Focused C...Rafael Casiano
油
TransMed Systems provides precision medicine software to help clinical trial sponsors and CROs improve patient recruitment. Their platform aggregates clinical and genomic data to identify potentially eligible patients in real-time. This addresses a key challenge of low patient accrual rates. TransMed also operates a network of oncology practices to expand trial outreach. Their goal is to provide a single source of truth on patient data to facilitate collaboration between CROs and healthcare providers.
Tumour models London 1-3 December 2015 AgendaDiane McKenna
油
Tumour Models London 2015, now in its 4th year,is the leading meeting dedicated to improve preclinical predictability and translational success of oncology discoveries. Tackling clinical failures rates, preclinical strategies and translational challenges, this Summit will enable you to translate your discoveries from model to human studies with superior predictability to future proof clinical success. [Read More]
DESTINY An Innovative Platform for Personalized Medicine from Doctors for D...IFAH
油
Arnfin Bergmann, CEO at NeuroTransData GmbH, on the topic of 'DESTINY An Innovative Platform for Personalized Medicine from Doctors for Doctors & Patients' at IFAH held at Le Meridien, Dubai on 16th - 18th December, 2019.
Planimeter Kft is a full service CRO specialized in translational medicine located in Budapest, Hungary. Their mission is to provide expertise in biostatistics for the pharmaceutical industry using rigorous quantitative methods. They have 16 employees and contractors who have experience in all phases of drug development. Their services include clinical trial design, data management, statistical analysis, and using new technologies like data mining and personalize medicine approaches.
From Data to Action: Bridging Chemistry and Biology with Informatics at NCATSRajarshi Guha
油
This document discusses the work of the National Center for Advancing Translational Sciences (NCATS) in bridging chemistry, biology and informatics to improve the process of translational research. It describes NCATS' mission to develop new methods and technologies to enhance drug development and implementation of interventions to improve human health. Specifically, it outlines initiatives at NCATS such as the Chemical Genomics Center, which performs high-throughput screens and develops chemical probes and leads. It also discusses how translational bioinformatics uses data integration to move between molecular to clinical scales to enable decision-making in areas like drug design and target validation.
Jeffrey Rosenfeld described his work using tumor sequencing to personalize cancer treatment. His lab uses a targeted sequencing panel to identify driver mutations in tumors, then filters variants using software like VarSeq. Potentially actionable mutations are evaluated using databases like N-Of-One and discussed at molecular tumor boards to guide treatment. Integrating sequencing results into clinical decision making and research databases allows improving outcomes for patients.
Personalized Medicine Through Tumor SequencingGolden Helix
油
One of the main recent advances in cancer therapy is the identification of medications that target specific gene mutations. In 2001 Gleevec was approved to treat patients with the BCR-ABL fusion in chronic myelogenous leukemia (CML), but since then many more drugs have been developed. Currently, there are numerous ongoing trials to identify tumor drivers that can be attacked by a drug. In order to identify the mutations driving a tumor, the tumor needs to be sequenced. There are a range of different approaches for sequencing tumors ranging from the sequencing of a few genes in the tumor up to paired whole-exome sequencing in both the tumor and adjacent normal tissue. Each type of sequencing has benefits and drawbacks and a balance needs to be made between cost and usability of the results. We have developed a clinical workflow for a 50 gene panel that identifies mutations in hotspots in known cancer genes. This workflow uses BaseSpace, VarSeq and N-Of-One to provide insight for our physicians and patients.
Certis Oncology provides precision oncology solutions through patient-derived tumor xenograft (PDOX) mouse models. Their technique implants small samples of patients' tumors into mice to test potential drug therapies. This identifies effective and ineffective treatments faster than standard methods. It also enables tumor banking for future testing. Certis works with oncologists, patients, and pharmaceutical companies to advance precision cancer care and drug development.
This document provides information on the 3rd Annual Conference on Cancer Vaccines taking place on September 15-17, 2014 in London.
The chair for 2014 will be Dr. Joseph Melenhorst from the University of Pennsylvania. Key speakers will discuss developments in cancer immunotherapy from organizations like Amgen, Immatics GmbH, DanDrit Biotech, and the University of Southampton.
Attendees will learn about a collaboration between the University of Pennsylvania and Novartis assessing T cell immunotherapy techniques. Presentations will also evaluate oncolytic vaccines from Amgen and Psioxus Therapeutics, and key questions in cancer immunotherapy from the University of Southampton. Analytical advances for cancer vaccines will be discussed from
Thanks to its combination of clinical pharmacology and bioanalytical services, QPS Netherlands has broad experience in performing dose-escalating (first-in-man) and drug-drug interaction studies with rapid turnaround of time-sensitive PK and biomarker samples.
Computer applications are now widely used in pharmacy for tasks like storing patient data, analyzing drug interactions, monitoring medications, and providing drug information. Some key uses of computers discussed include using software programs to analyze patient pharmacokinetic data and predict drug concentrations, developing mathematical models for drug design, and maintaining patient records and inventory in hospitals. Mobile technologies and automated dispensing systems are also discussed as emerging areas where computers are being applied in pharmacy.
Acibadem City Clinic Cancer Center is a modern specialized medical facility for cancer patients. The structure comprises of departments and clinics in Medical oncology, Radiation Oncology, Nuclear Medicine, Radiology and Imaging Diagnostics, Gastroenterology and Clinical Pathology. Chemotherapy, targeted therapy, rehabilitation and psychological support for the patients and their families. Patients have access to cutting-edge technologies such as PET / CT and SPECT / CT imaging, 3D mammography with tomosintesis, robot for automated mixing of medicines and many others. The leading specialists in the hospital are reknown and certified in famous clinics in Europe and around the world.
- The document discusses the Total Cancer Care (TCC) approach at Moffitt Cancer Center, which aims to provide personalized cancer care through comprehensive data collection and analysis.
- TCC collects extensive clinical, genomic, treatment and outcomes data from over 78,000 consented patients to power research studies and clinical trials matching. Molecular profiling has been conducted on over 14,000 tumor samples.
- The TCC data is housed in a large integrated database and used by researchers for studies in areas like radiochemotherapy response, exome sequencing, immunology biomarkers, and cancer epidemiology.
- The database also helps clinicians identify eligible patients for clinical trials and develop evidence-based treatment pathways. The goal is to transform cancer
This document discusses Moffitt Cancer Center's Total Cancer Care program which aims to transform cancer care through a personalized approach. It involves collecting extensive clinical, molecular, and biospecimen data from patients over their lifetime to power research. The goals are to improve outcomes through early detection, personalized treatment, and clinical trials matching. Moffitt has established an extensive biorepository and informatics platform to integrate data from over 78,000 consented patients to enable precision oncology research.
Here are tutorial (Methods and Applications of NLP in Medicine) slides at AIME 2020 (International Conference on Artificial Intelligence in Medicine) provided by Dr. Hua Xu, Dr. Yifan Peng, Dr. Yanshan Wang, Dr. Rui Zhang. Through this half-day tutorial, we introduced our methodological efforts in applying NLP to the clinical domain, and showcase our real-world NLP applications in clinical practice and research across four institutions. We reviewed NLP techniques in solving clinical problems and facilitating clinical research, the state-of-the art clinical NLP tools, and share collaboration experience with clinicians, as well as publicly available EHR data and medical resources, and also concluded the tutorial with vast opportunities and challenges of clinical NLP. The tutorial will provide an overview of clinical backgrounds, and does not presume knowledge in medicine or health care.
This presentation provides a detailed exploration of the morphological and microscopic features of pneumonia, covering its histopathology, classification, and clinical significance. Designed for medical students, pathologists, and healthcare professionals, this lecture differentiates bacterial vs. viral pneumonia, explains lobar, bronchopneumonia, and interstitial pneumonia, and discusses diagnostic imaging patterns.
Key Topics Covered:
Normal lung histology vs. pneumonia-affected lung
Morphological changes in lobar, bronchopneumonia, and interstitial pneumonia
Microscopic features: Fibroblastic plugs, alveolar septal thickening, inflammatory cell infiltration
Stages of lobar pneumonia: Congestion, Red hepatization, Gray hepatization, Resolution
Common causative pathogens (Streptococcus pneumoniae, Klebsiella pneumoniae, Mycoplasma, etc.)
Clinical case study with diagnostic approach and differentials
Who Should Watch?
This is an essential resource for medical students, pathology trainees, and respiratory health professionals looking to enhance their understanding of pneumonias morphological aspects.
Pharm test bank- 12th lehne pharmacology nursing classkoxoyav221
油
A pediatric nursing course is designed to prepare nursing students to provide specialized care for infants, children, and adolescents. The course integrates developmental, physiological, and psychological aspects of pediatric health and illness, emphasizing family-centered care. Below is a detailed breakdown of what you can expect in a pediatric nursing course:
1. Course Overview
Focuses on growth and development, health promotion, and disease prevention.
Covers common pediatric illnesses and conditions.
Emphasizes family dynamics, cultural competence, and ethical considerations in pediatric care.
Integrates clinical skills, including medication administration, assessment, and communication with children and families.
2. Key Topics Covered
A. Growth and Development
Neonates (0-28 days): Reflexes, feeding patterns, thermoregulation.
Infants (1 month - 1 year): Milestones, immunization schedule, nutrition.
Toddlers (1-3 years): Language development, toilet training, injury prevention.
Preschoolers (3-5 years): Cognitive and social development, school readiness.
School-age children (6-12 years): Psychosocial development, peer relationships.
Adolescents (13-18 years): Puberty, identity formation, risk-taking behaviors.
B. Pediatric Assessment
Head-to-toe assessment in children (differences from adults).
Vital signs (normal ranges vary by age).
Pain assessment using age-appropriate scales (FLACC, Wong-Baker, Numeric).
C. Pediatric Disease Conditions
Respiratory disorders: Asthma, bronchiolitis, pneumonia, cystic fibrosis.
Cardiac conditions: Congenital heart defects, Kawasaki disease.
Neurological disorders: Seizures, meningitis, cerebral palsy.
Gastrointestinal disorders: GERD, pyloric stenosis, intussusception.
Endocrine conditions: Diabetes mellitus type 1, congenital hypothyroidism.
Hematologic disorders: Sickle cell anemia, hemophilia, leukemia.
Infectious diseases: Measles, mumps, rubella, chickenpox.
Mental health concerns: Autism spectrum disorder, ADHD, eating disorders.
D. Pediatric Pharmacology
Medication administration (oral, IV, IM, subcutaneous).
Weight-based dosing calculations (mg/kg).
Common pediatric medications (antibiotics, analgesics, vaccines).
Parenteral nutrition and fluid management.
E. Pediatric Emergency & Critical Care
Pediatric Advanced Life Support (PALS) basics.
Recognizing signs of deterioration (early vs. late signs).
Shock, dehydration, respiratory distress management.
F. Family-Centered Care & Communication
Parental involvement in care decisions.
Therapeutic communication with children at different developmental stages.
Cultural considerations in pediatric care.
G. Ethical and Legal Issues in Pediatric Nursing
Informed consent for minors.
Mandatory reporting of abuse and neglect.
Palliative care and end-of-life considerations in pediatrics.
3. Clinical Component
Hands-on experience in pediatric hospital units, clinics, or community settings.
Performing assessments and interventions under supervision.
Case study disc
1. Explain the physiological control of glomerular filtration and renal blood flow
2. Describe the humoral and autoregulatory feedback mechanisms that mediate the autoregulation of renal plasma flow and glomerular filtration rate
Local Anesthetic Use in the Vulnerable PatientsReza Aminnejad
油
Local anesthetics are a cornerstone of pain management, but their use requires special consideration in vulnerable groups such as pediatric, elderly, diabetic, or obese patients. In this presentation, well explore how factors like age and physiology influence local anesthetics' selection, dosing, and safety. By understanding these differences, we can optimize patient care and minimize risks.
At Macafem, we provide 100% natural support for women navigating menopause. For over 20 years, we've helped women manage symptoms, and in 2024, we're proud to share their heartfelt experiences.
Chair and Presenters Sara A. Hurvitz, MD, FACP, Carey K. Anders, MD, FASCO, and Vyshak Venur, MD, discuss metastatic HER2-positive breast cancer in this CME/NCPD/CPE/AAPA/IPCE activity titled Fine-Tuning the Selection and Sequencing of HER2-Targeting Therapies in HER2-Positive MBC With and Without CNS Metastases: Expert Guidance on How to Individualize Therapy Based on Latest Evidence, Disease Features, Treatment Characteristics, and Patient Needs and Preferences. For the full presentation, downloadable Practice Aids, and complete CME/NCPD/CPE/AAPA/IPCE information, and to apply for credit, please visit us at https://bit.ly/4f8sUs7. CME/NCPD/CPE/AAPA/IPCE credit will be available until March 2, 2026.
Dr. Anik Roy Chowdhury
MBBS, BCS(Health), DA, MD (Resident)
Department of Anesthesiology, ICU & Pain Medicine
Shaheed Suhrawardy Medical College Hospital (ShSMCH)
Op-eds and commentaries 101: U-M IHPI Elevating Impact seriesKara Gavin
油
A slide set about writing opinion and commentary pieces, created for the University of Michigan Institute for Healthcare Policy and Innovation in Jan. 2025
BIOMECHANICS OF THE MOVEMENT OF THE SHOULDER COMPLEX.pptxdrnidhimnd
油
The shoulder complex acts as in coordinated fashion to provide the smoothest and greatest range of motion possible of the upper limb.
Combined motion of GH and ST joint of shoulder complex helps in:
Distribution of motion between other two joints.
Maintenance of glenoid fossa in optimal position.
Maintenance of good length tension
Although some amount of glenohumeral motion may occur while the other shoulder articulations remain stabilized, movement of the humerus more commonly involves some movement at all three shoulder joints.
Presentaci坦 que va acompanyar la demostraci坦 prctica de metge d'Innovaci坦 Jos辿 Ferrer sobre el projecte Benestar de BSA, nom d'IDIAP Pere Gol, el 5 de mar巽 de 2025 a l'estand de XarSMART al Mobible Word Congress.
Solubilization in Pharmaceutical Sciences: Concepts, Mechanisms & Enhancement...KHUSHAL CHAVAN
油
This presentation provides an in-depth understanding of solubilization and its critical role in pharmaceutical formulations. It covers:
Definition & Mechanisms of Solubilization
Role of surfactants, micelles, and bile salts in drug solubility
Factors affecting solubilization (pH, polarity, particle size, temperature, etc.)
Methods to enhance drug solubility (Buffers, Co-solvents, Surfactants, Complexation, Solid Dispersions)
Advanced approaches (Polymorphism, Salt Formation, Co-crystallization, Prodrugs)
This resource is valuable for pharmaceutical scientists, formulation experts, regulatory professionals, and students interested in improving drug solubility and bioavailability.
Asthma: Causes, Types, Symptoms & Management A Comprehensive OverviewDr Aman Suresh Tharayil
油
This presentation provides a detailed yet concise overview of Asthma, a chronic inflammatory disease of the airways. It covers the definition, etiology (causes), different types, signs & symptoms, and common triggers of asthma. The content highlights both allergic (extrinsic) and non-allergic (intrinsic) asthma, along with specific forms like exercise-induced, occupational, drug-induced, and nocturnal asthma.
Whether you are a healthcare professional, student, or someone looking to understand asthma better, this presentation offers valuable insights into the condition and its management.
DIAGNOSIS OF PREGNANCY PPT IN ALL TRIMESTERdaminipatel37
油
Paradigmshift in precision medicine
1. About us:
MolecularHealth is a leading
biomedical company that
is transforming molecular
data into clinically actiona-
ble information for the most
nt and safest cancer
treatment options for each
individual cancer patient.
MolecularHealth is managed
by a multidisciplinary team
of oncologists, scientists,
businesspeople, and IT ex-
perts with long-standing
expertise in th lds.
In order to continuously
adapt the feature set of
TreatmentMAP to the la-
test medical developments,
the software is constantly
being validated by means
of clinical studies.
MolecularHealth is headquar-
tered in Heidelberg, Germany
which is a European center for
biomedical cancer research.
In the USA, the company is
located in The Woodlands,
Texas, where it operates a
TreatmentMAP
globally available biomedical and clinical knowledge.
TreatmentMAP supports physicians in optimizing their treatment decisions, even for
cancer patients in advanced stages of cancer, or when all of the standard treatment options
for a patient have been exhausted.
ment status of investigational drugs and the drugs and biomarkers already available on the
an essential tool for applying personalized medicine in clinical practice.
MolecularHealth constantly checks the current data available and, in a strictly quality-
controlled process, enhances the TreatmentMAP software. In this way, TreatmentMAP is
TreatmentMAP provides comprehensive information on drugs, biomarkers, diseases,
The results of the automated analysis allow data access down to the level of the
treatment option.
TreatmentMAP uses the most
up-to-date information technology,
for example, text mining and
MolecularHealths own oncology data
warehouse to comprehensively
prioritize treatment options.
2. How does TreatmentMAP work?
analysis of the sequencing data from MolecularHealth.
After the tissue samples have been sequenced, the data is integrated and analyzed at
physician uses the resulting analysis to create a medical report for the treating physician
interpretation in Europe.
design, development, and production of software systems for the integrated analysis of
clinical and genomic patient data to support treatment decisions and provision of related
services.
Pseudonymized patient data o ers maximum protection of the patients privacy.
Clinical validation in studies done together with global, well-known cancer research
centers ensure that TreatmentMAP is continuously developed and enhanced.
interpretation in Europe with direct access to the most current available biomedical
knowledge
analysis of possible individual treatment options
Continuous validation in global, well-known cancer research centers to continuously
maintain the medical relevance of TreatmentMAP
Molecular Health GmbH | Kurf端rsten nlage 21 | 69115 Heidelberg,
Germany contact_eu@molecularhealth.com | www.molecularhealth.de
MolecularHealth works
NGS companies and
global leaders in biotech
and IT, including:
PM102