asa conference, academic degree, aid, americans for safe access, asa unity 2021, cannabis, cannabis (drug), cannabis and psychedelics, cannabis conference 2021, cole memorandum, democratic party (united states), driving under the influence, education, federal government of the united states, health care, health insurance, internal medicine, marijuana, marijuana company of america, marijuana conference 2021, medical cannabis, nursing, pharmacy, physician, policy, politician, prescription drug, prison, prison–industrial complex, public health, risk, takeover, telehealth, unity2021, zero tolerance
asa conference, academic degree, aid, americans for safe access, asa unity 2021, cannabis, cannabis (drug), cannabis and psychedelics, cannabis conference 2021, cole memorandum, democratic party (united states), driving under the influence, education, federal government of the united states, health care, health insurance, internal medicine, marijuana, marijuana company of america, marijuana conference 2021, medical cannabis, nursing, pharmacy, physician, policy, politician, prescription drug, prison, prison–industrial complex, public health, risk, takeover, telehealth, unity2021, zero tolerance
Legislator at Pennsylvania House of Representatives
asa conference, academic degree, aid, americans for safe access, asa unity 2021, cannabis, cannabis (drug), cannabis and psychedelics, cannabis conference 2021, cole memorandum, democratic party (united states), driving under the influence, education, federal government of the united states, health care, health insurance, internal medicine, marijuana, marijuana company of america, marijuana conference 2021, medical cannabis, nursing, pharmacy, physician, policy, politician, prescription drug, prison, prison–industrial complex, public health, risk, takeover, telehealth, unity2021, zero tolerance
adverse event, bread, child, clinician, experience, false positives and false negatives, hospital, intensive care unit, internal medicine, lyme disease, medicine, palliative care, patient, positive and negative predictive values, sensitivity and specificity, silence, subset, toronto, type i and type ii errors, university of toronto
adverse event, bread, child, clinician, experience, false positives and false negatives, hospital, intensive care unit, internal medicine, lyme disease, medicine, palliative care, patient, positive and negative predictive values, sensitivity and specificity, silence, subset, toronto, type i and type ii errors, university of toronto
Data Science and Advanced Analytics at Unity Health Toronto
adverse event, bread, child, clinician, experience, false positives and false negatives, hospital, intensive care unit, internal medicine, lyme disease, medicine, palliative care, patient, positive and negative predictive values, sensitivity and specificity, silence, subset, toronto, type i and type ii errors, university of toronto
adverse event, bread, child, clinician, experience, false positives and false negatives, hospital, intensive care unit, internal medicine, lyme disease, medicine, palliative care, patient, positive and negative predictive values, sensitivity and specificity, silence, subset, toronto, type i and type ii errors, university of toronto
adverse event, bread, child, clinician, experience, false positives and false negatives, hospital, intensive care unit, internal medicine, lyme disease, medicine, palliative care, patient, positive and negative predictive values, sensitivity and specificity, silence, subset, toronto, type i and type ii errors, university of toronto
Internist and Clinician Scientist at University of Toronto
adverse event, bread, child, clinician, experience, false positives and false negatives, hospital, intensive care unit, internal medicine, lyme disease, medicine, palliative care, patient, positive and negative predictive values, sensitivity and specificity, silence, subset, toronto, type i and type ii errors, university of toronto
adverse event, bread, child, clinician, experience, false positives and false negatives, hospital, intensive care unit, internal medicine, lyme disease, medicine, palliative care, patient, positive and negative predictive values, sensitivity and specificity, silence, subset, toronto, type i and type ii errors, university of toronto
adverse event, bread, child, clinician, experience, false positives and false negatives, hospital, intensive care unit, internal medicine, lyme disease, medicine, palliative care, patient, positive and negative predictive values, sensitivity and specificity, silence, subset, toronto, type i and type ii errors, university of toronto
adverse event, bias, bread, child, clinic, clinician, data, disease, experience, false positives and false negatives, feedback, force, goal, hospital, information, intensive care unit, internal medicine, learning, lyme disease, machine, machine learning, medicine, memory, mortality rate, orange line (cta), palliative care, parameter, patient, positive and negative predictive values, prediction, regularization (mathematics), reinforcement, risk, sensitivity and specificity, silence, subset, throughput, tire, toronto, type i and type ii errors, university of toronto
Faculty Chair for Medicine & Neuroscience, Singularity University at Singularity University
23andme, 3d printing, ageing, ai, alternative medicine, alzheimer's disease, amniocentesis, angiogenesis, antibiotic, anxiety, ar, artificial, artificial intelligence, attention, augmentation, augmented reality, austria, automation, avatar (2009 film), behavior, bgi group, biology, biopsy, biotechnology, blockchain, blood donation, blood pressure, cancer, cardiology, cardiovascular disease, challenge, cholesterol, chronic condition, comorbidity, computing, conversation, credibility, crispr, critical thinking, crowdsourcing, culture, dan buettner, design thinking, designing thinking, diabetes, digital twin, disease, dna, dna sequencing, education, elizabeth blackburn, emotion recognition, entrepreneurship, epigenetics, eugenics, event, evidence-based medicine, exercise, exponential medicine, fee-for-service, festival, fintech, fitbit, food, food and drug administration, future, future forecasting, future of learning, future of work, futurism, futurist, gene, gene therapy, genetic disorder, genetics, genome, genome editing, global summit, google glass, health, health care, healthtech, hematopoietic stem cell transplantation, history of eugenics, human, human genome, humanity, hypercholesterolemia, hypertension, infection, inflammation, innovation, intelligence, internal medicine, internet, internet of things, james cameron, leadership, learning, life, longevity, man's search for meaning, medicare (united states), medicine, meditation, medtech, melanoma, mhealth, michael debakey, mindfulness, mindset, myocardial infarction, nanotechnology, national health service, neurology, nucleic acid sequence, obesity, organ donation, organ transplantation, pain, pay for performance (healthcare), personalized medicine, peter diamandis, pharmacogenomics, physician, pioneers, preventive healthcare, prostate cancer, psychology, ptosis (eyelid), quantified self, ray kurzweil, robotics, robots, science, self-awareness, self-care, sickle cell disease, simulation, singularity hub, singularity university, singularityhub, skepticism, sleep, social media, startups, stress (biology), stress management, stroke, surgery, synthetic biology, talks, tech, technological convergence, technology, telehealth, thalassemia, thought, titanic (1997 film), type 2 diabetes, understanding, urinary tract infection, user interface, vienna, virtual reality, vital signs, vr, wearable technology, whole genome sequencing, worldview, worry, xmed
1
1-21 of 21
We use cookies on this website to enhance your browsing experience, measure our audience, and to collect information useful to provide you with more relevant content. By continuing to use this website, by closing this box, or by clicking here, you are indicating your consent to our use of cookies.