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⏲ 29 min 51 sec ✓ 04-Mar-2021
PubMed Masterclass: Unleash the Full Potential of Biomedical Research | Basic Science Series
⏲ 18 minutes 20 seconds 👁 48
Finding Bibliographic Databases
⏲ 6 minutes 5 seconds 👁 1K
Dental data and their representation - Part 1: Representing the real world through bits
⏲ 9 min 27 sec ✓ 12-Mar-2013
PubMed Overview
⏲ 5 minutes 26 seconds 👁 15.2K
A Database A Day In May Biomedical Database
⏲ 2 minutes 7 seconds 👁 8
Using Machine Learning to Predict & Influence Outcomes of Virtual Reality Interventions for Treatment-Resistant Schizophrenia
⏲ 6 min 85 sec ✓ 15-Feb-2022
PubMed Literature Database
⏲ 1 minute 9 seconds 👁 769
MEDLINE: An authoritative database for biomedical and health information
⏲ 1 hour 12 minutes 👁 20
60 seconden Teaser van Utrecht Life Sciences (ULS)
⏲ 35 sec ✓ 24-May-2012
Promo van Utrecht Life Sciences (ULS)
⏲ 3 min 53 sec ✓ 25-Apr-2012
Accelerating discovery in biomedicine with machine-assisted data annotation and knowledge assembly, Benjamin M. Gyori, Ph.D.
⏲ 37 min 89 sec ✓ 26-Apr-2023
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_92.webp "Keynote Title: Democratizing Data-driven HealthcarennKeynote Lecturer: Tiago GuerreironPresented on: 13/02/2021, Online StreamingnnAbstract: The advances in computing and sensing technologies, along with the capabilities to process and infer information from them, have not been accompanied by similar-paced developments on end-user tools. Scientific databases are filled with new possibilities for monitoring and predicting diseases, but clinicians (and patients) see slow and poor advances in what")
_pubmed-masterclass-unleash-the-full-potential-of-biomedical-research-124-basic-science-series.webp "Basic Science Series")
_finding-bibliographic-databases.webp "Welch Medical Library")
_dental-data-and-their-representation-part-1-representing-the-real-world-through-bits.webp "This video is part of the online course")
_pubmed-overview.webp "Welch Medical Library")
_a-database-a-day-in-may-biomedical-database.webp "RhondaK K")
_using-machine-learning-to-predict-amp-influence-outcomes-of-virtual-reality-interventions-for-treatment-resistant-schizo.webp "Virtual reality interventions are novel avenues to address the auditory verbal hallucinations of patients suffering of treatment-resistant schizophrenia. In this talk, I will discuss the potential uses of machine learning to optimize such interventions by the means of automatic text classification, data-driven outcome predictions and enhancements. This is a future promising approach towards personalized medicine.nnn--nnnDr. Alexandre Hudon is a medical resident in psychiatry (PGY3) at University")
_pubmed-literature-database.webp "Abnova")
_medline-an-authoritative-database-for-biomedical-and-health-information.webp "HKBU Library")
_60-seconden-teaser-van-utrecht-life-sciences-uls.webp "Utrecht Life Sciences is an open innovation network in the Netherlands, which unites Utrecht University, the University Medical Center Utrecht, government and business. Its goal is to intensify cooperation in the areas of education, research & innovation by providing state of the art shared infrastructures, scouting & educating talented people, creating access to scarce expertise and databases, and increasing access to external grants & funds for its partners. In doing so we aim to b")
_promo-van-utrecht-life-sciences-uls.webp "Utrecht Life Sciences is an open innovation network in the Netherlands, which unites Utrecht University, the University Medical Center Utrecht, government and business. Its goal is to intensify cooperation in the areas of education, research & innovation by providing state of the art shared infrastructures, scouting & educating talented people, creating access to scarce expertise and databases, and increasing access to external grants & funds for its partners. In doing so we aim to b")
_accelerating-discovery-in-biomedicine-with-machine-assisted-data-annotation-and-knowledge-assembly-benjamin-m-gyori-ph.webp "0:00 Introductionn6:38 Main presentationn50:41 Q&A with audiencennTitle: Accelerating discovery in biomedicine with machine-assisted data annotation and knowledge assemblynSpeaker: Benjamin M. Gyori, Ph.D., Director of Machine-assisted Modeling & Analysis, Laboratory of Systems Pharmacology, Harvard Medical SchoolnAbstract: Making novel scientific discoveries requires integrating biomedical data and knowledge from diverse sources. However, merging disparate sets of information is time co")
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