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    Health Care

    6 379 курсов
    Interdisciplinary Approach and Collaboration for Health for All - Session 2
    Kyoto-U OCW - Unofficial

    Interdisciplinary Approach and Collaboration for Health for All - Session 2

    Implementation Research and Science for Health for All - Session 7
    Kyoto-U OCW - Unofficial

    Implementation Research and Science for Health for All - Session 7

    Basic Theory and Methods of Participatory Action Research with Older Persons - Part 4
    Kyoto-U OCW - Unofficial

    Basic Theory and Methods of Participatory Action Research with Older Persons - Part 4

    Understanding COVID-19: History, Research, and Countermeasures - March 2021
    Kyoto-U OCW - Unofficial

    Understanding COVID-19: History, Research, and Countermeasures - March 2021

    How to Generate New Hypotheses and Research Directions by Single-Cell Data Analysis
    Fields Institute

    How to Generate New Hypotheses and Research Directions by Single-Cell Data Analysis

    Heart Blocks: Types, ECG Patterns, and Clinical Significance - Interactive Animation with Quiz
    Alila Medical Media

    Heart Blocks: Types, ECG Patterns, and Clinical Significance - Interactive Animation with Quiz

    bioMérieux and Breakpoints: Understanding FDA Submissions and Future Tools
    Labroots

    bioMérieux and Breakpoints: Understanding FDA Submissions and Future Tools

    Identifying Biomarkers of Cardiovascular Diseases with Machine Learning
    Data Science Festival

    Identifying Biomarkers of Cardiovascular Diseases with Machine Learning

    Advancing Personalized Medicine and Radiotherapy through AI-Enabled Computer Vision
    Data Science Festival

    Advancing Personalized Medicine and Radiotherapy through AI-Enabled Computer Vision

    Cancer Image Segmentation for Head and Neck Radiation Therapy Planning
    Toronto Machine Learning Series (TMLS)

    Cancer Image Segmentation for Head and Neck Radiation Therapy Planning

    Capsule Network-based Framework for Identification of COVID Cases from X-ray Images
    Toronto Machine Learning Series (TMLS)

    Capsule Network-based Framework for Identification of COVID Cases from X-ray Images

    Machine Learning-Driven Phenotyping Platform for Rapid In Vivo Target Validation and Precision Medicine
    Toronto Machine Learning Series (TMLS)

    Machine Learning-Driven Phenotyping Platform for Rapid In Vivo Target Validation and Precision Medicine

    Deep Learning-Based Lung Ultrasound Video Classification to Predict COVID-19
    Toronto Machine Learning Series (TMLS)

    Deep Learning-Based Lung Ultrasound Video Classification to Predict COVID-19

    PolypharmDB: Quickly Identifying Repurposed Drug Candidates for COVID-19
    Toronto Machine Learning Series (TMLS)

    PolypharmDB: Quickly Identifying Repurposed Drug Candidates for COVID-19

    Paclitaxel Biosynthesis AI Breakthrough: Accelerating Drug Synthesis Research
    ChemicalQDevice

    Paclitaxel Biosynthesis AI Breakthrough: Accelerating Drug Synthesis Research

    Artificial Intelligence Primer for Pediatric Cardiac Imaging
    Johns Hopkins Medicine

    Artificial Intelligence Primer for Pediatric Cardiac Imaging

    Role of Catheter Ablation in Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC)
    Johns Hopkins Medicine

    Role of Catheter Ablation in Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC)

    Gene Therapy in Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC)
    Johns Hopkins Medicine

    Gene Therapy in Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC)

    How Top Healthcare Companies Boost AI Development with Data-Centric Approaches
    Snorkel AI

    How Top Healthcare Companies Boost AI Development with Data-Centric Approaches

    SE3 Equivariant Hemodynamic Field Estimation in 3D Artery Models via Graph Neural Networks
    Conference GSI

    SE3 Equivariant Hemodynamic Field Estimation in 3D Artery Models via Graph Neural Networks

    The Use of Artificial Intelligence in Gastric Cancer Screening
    Stanford Department of Medicine

    The Use of Artificial Intelligence in Gastric Cancer Screening