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Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention
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Board-certified cardiologist passionate about cardiovascular care, technology and health delivery. Cardiology, clinical informatics and research training at Duke. Former internal medicine and chief resident at UTSW. Experienced in building telemedicine services and new patient engagement tools (NLP). More than 6 years of personal telemedicine practice experience. Track record of execution with great teams driven by mission and vision. Bringing experience from investment banking, angel investing, venture capital, project management, academia and clinical practice.
View the profileRicardo is a respected expert in machine learning. He serves as Assistant Professor in Biostatistics and Bioinformatics at Duke University and is a member of the Duke Clinical Research Institute. He also regularly serves as a reviewer for journals such as the Journal of Machine Learning Research, Journal of Biomedical Informatics, and many others.He has coauthored more than 50 academic papers in fields such as machine learning, biostatistics, neuroscience, cancer and infectious disease.
View the profileMark Sendak is the Population Health & Data Science Lead at the Duke Institute for Health Innovation, where he leads interdisciplinary teams of data scientists, clinicians, and machine learning experts to build technologies that solve real clinical problems within Duke Health. He has built tools to support Duke's first adult high-utilizerprogram, chronic disease management within a Medicare Accountable Care Organization, and inpatient deterioration management. He leads a medical student innovation scholarship and is focused on building the technology infrastructure and training the workforce required to bring medicine into a new digital age. He has published in both technical venues, including Uncertainty and Artificial Intelligence and the Journal of Machine Learning Research, as well as clinical venues, including eGEMS, PlOS Medicine, and the Journal of Applied Clinical Informatics. He has worked with the National Institutes of Health (NIH) to develop a financial model for using health information technology to improve chronic kidney disease management as well as the American Medical Association (AMA) to advise on reimbursement mechanisms for artificial intelligence in healthcare. He obtained his Bachelors of Science in Mathematics from UCLA, Masters of Public Policy with a focus on health policy from Duke, and MD from Duke University School of Medicine.
View the profileI am currently an Innovation Program Manager at The Duke Institute for Health Innovation. As part of Duke University and Duke University Health System, DIHI connects broad expertise and resources across Duke to effectively address important health care challenges and pilot innovative health care projects. Previously, I was a Consultant with Optum Advisory Services (formerly The Advisory Board). In this role, I helped lead projects focused on improving operations and reducing costs for health systems. I graduated from Duke University's Fuqua School of Business with a Health Sector Management Certificate in May of 2017. Before Fuqua, I spent 5 years in health care consulting with Cumberland Consulting Group, specializing in clinical process optimization and health IT system project design and implementation. I'm motivated by the desire to help health care providers overcome strategic and operational barriers to deliver the highest quality of care to patients.
View the profileSuresh Balu serves as Associate Dean for Innovation and Partnership for the School of Medicine and as Program Director, for the Duke Institute for Health Innovation (DIHI). Suresh’s experience prior to Duke spans academia, management consulting, venture capital and private equity. As a corporate and competitive strategy consultant, Suresh worked with leading life sciences and technology firms to develop strategies for innovation, revenue generation, organizational restructuring and product portfolio planning. His PE/VC experiences include product and technology due diligence, deal structuring and portfolio company management. As an entrepreneur, Suresh was responsible for program management, market and product strategy at a venture-funded firm that focused on visualization and diagnostic products. Suresh has operational and business development experience in Asia and Europe, where he helped to establish sales channels serving government and academic clients. He is an inventor named on more than 20 US and international patents. Suresh holds MS (Computer Science) and MBA (Corporate Finance) degrees as well as a Master’s degree in Informatics and Bachelor’s degree in Engineering.
View the profileA bright, talented and self-motivated DWD, who has excellent organizational skills, is highly efficient and has a good eye for detail. Has over 12 years of extensive experience in Data Analysis, Software Testing , Quality Assurance of business applications . Able to assist the analyst in analyzing problems and come up with creative solutions as well as producing methodologies and files for effective data management. A quick learner who can absorb new ideas and can communicate clearly and effectively
View the profileExperienced Healthcare analytic leader passionate about leveraging my extensive Business Intelligence background to improve the overall health of our community. Specialization in understanding the data needs of physician and senior leadership with proven ability to translate into analytic solutions in support of population health, cost utilization, and value based care. Technical competencies include hands on experience with hospital and professional claims and clinical quality data within the Epic/Clarity data model, and implementation and development experience with leading ETL and Business Intelligence reporting tools.
View the profileI currently serve as the Chief Health Information Officer for Duke Medicine. I also practice primary care internal medicine at the Durham Medical Center as part of Duke Primary Care. In my capacity as CHIO, I am responsible for the visioning and strategic planning of clinical and analytic information systems that impact patient care, research and education. I work with the Duke Medicine leadership to ensure technology solutions are well aligned with our overall organizational objectives. I oversee the ongoing development and optimization of the Maestro Care (Epic) electronic health record and other clinical IT systems, and partner with physicians, patients and operational leaders to effectively leverage innovative IT in support of the Duke mission. I also have a keen interest in IT innovation, and work with investigators across Duke to pursue new and innovative ways to efficiently deliver high quality care to our patients. My research interests have revolved around the use of health information technology to improve the quality of care and patient safety in both the ambulatory and hospital settings. My work in the ambulatory setting has focused on the efficient delivery of decision support to clinicians to prevent errors of omission and commission during diagnostic test ordering and review of test results. I have also worked to use information technology, including secure on-line patient portals, to improve the communication between clinicians and patients around health main
View the profileLawrence Carin earned the BS, MS, and PhD degrees in electrical engineering at the University of Maryland, College Park, in 1985, 1986, and 1989, respectively. In 1989 he joined the Electrical Engineering Department at Polytechnic University (Brooklyn) as an Assistant Professor, and became an Associate Professor there in 1994. In September 1995 he joined the Electrical and Computer Engineering (ECE) Department at Duke University, where he is now a Professor. He was ECE Department Chair from 2011-2014, the Vice Provost for Research from 2014-2019, and since 2019 he has served as Duke's Vice President for Research. From 2003-2014 he held the William H. Younger Distinguished Professorship, and since 2018 he has held the James L. Meriam Distinguished Professorship. Dr. Carin's research focuses on machine learning (ML), artificial intelligence (AI) and applied statistics. He publishes widely in the main ML/AI conferences, and he has also engaged in translation of research to practice. He was co-founder of the small business Signal Innovations Group, which was acquired by BAE Systems in 2014, and in 2017 he co-founded the company Infinia ML. He is an IEEE Fellow.
View the profileManesh Patel is the Chief of the Division of Cardiology and the Division of Clinical Pharmacology. His clinical interests include diagnostic and interventional coronary angiography, peripheral angiography and endovascular intervention. His is involved in several clinical trials involving patients with cardiovascular disease and in cardiac imaging. He is also the Chair of the American College of Cardiology Task Force for Appropriate Use Criteria for Cardiovascular Procedures and is Chair of the American Heart Association Diagnostic and Interventional Cath Committee. Patel's interest in cardiac imaging, quality of care, cardiac devices is also evident in his research. His integration of these efforts into his roles at Duke was recognized in 2010 when he received the prestigious Duke Cardiology Fellowship Mentor Award. In 2011, Dr. Patel was named the endowed John Bush Simpson Assistant Professor of Cardiology. In 2013, Dr. Patel received the Robert M. Califf Faculty clinical research Award. Currently, Dr. Patel is leading an effort to redesign the delivery of care to patients undergoing invasive catheterization procedures in the health system with a specific aim of measure and providing individualized, patient centered, innovative, and efficient care.
View the profileHow do I find Mom? I'm your phone currently. A PhD student from Carnegie Mellon University. It is my pleasure to introduce the temperature of cancer cell lines, file collaborative, filtering attention. Giants. Walk with a shotgun. Michael James Professor, a socialist, and a professor Lu. Accurate and a cancer. Drug recommendation is crucial to crustacean allergy. Ask your God response office on cancer cell lines, provide understand the interplay of drugs and cancer cells. However, are the sensitivities
all sterilized drop and all based on the data is still challenging primary attacks. First job, sensitivity data on noisy and often contain many missing and Jog is complex. Last cancer researchers and clinicians are especially concerned about the clinical implications of the models. We can emphasize a while markers affect the final prediction results. What phrase and the cattle here which is only interpret about machine learning model, that accurately predicts drug sensitivities of cancer cell lines from the
trash on a boat. Weather in spirit of palm collaborative filtering, which is capable of coping with noisy data. The Comcast retention mechanism of casual improves, Bose model, interpretability and performance. Yeah, Edition the chain representation transferred from external database Louis cast cattle performance further. Through extensive experiments and Analysis. We find Carter all performance Computing models, contribute to the measure Improvement. After performance.
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