Generative AI for Biomedical Insights - Solutions Through OpenBIOML and BIO GPT - Bidyut Sarkar
Explore Generative AI's impact on biomedical research with IBM expert Bidyut Sarkar. Learn about OpenBIOML, BIO GPT, and responsible deployment strategies for leveraging AI in healthcare and scientific discoveries.
ML for Microbial Genomics by Janani Ravi
Explore machine learning applications in microbial genomics, focusing on data analysis techniques and their relevance to understanding microbial genetic structures and functions.
Gestational Diabetes - Cause for the Epidemic of Diabetes by Ponnusamy Saravanan
Explore the link between gestational diabetes and the diabetes epidemic, examining causes, impacts, and potential interventions to address this growing health concern.
Retinal Imaging in Neurodegenerative Diseases by Dilraj Grewal
Explore retinal imaging techniques for detecting neurodegenerative diseases. Learn about advanced imaging methods and their potential in early diagnosis and monitoring of neurological conditions.
Computer Vision for Segmenting & Analyzing Subcellular Components in Cryo-Electron Tomography
Explore computer vision techniques for automated 3D segmentation and analysis of subcellular components in cryo-electron tomography, focusing on mitochondrial features in Huntington's Disease neurons.
A Deep Generative Model for Molecular Graphs by Niloy Ganguly
Explores a deep generative model for molecular graphs using variational autoencoders, discussing its design, properties, and applications in drug discovery and molecule optimization.
Coronavirus - Through The Lens Of AI
Explore AI applications in COVID-19 research: CT scan analysis, NLP for literature insights, and deep learning for drug candidate design. Learn how technology aids pandemic response.
Bandits - Kevin Jamieson - University of Washington
Explore bandit algorithms and their applications in machine learning, from drug development to content recommendation, with a focus on regret minimization and stochastic models.
Introduction to Volcano: Cloud Native Batch System
Explore Volcano, a cloud-native batch system for high-performance workloads on Kubernetes. Learn about its architecture, features, use cases, and recent developments in this comprehensive introduction.
AI in Healthcare - The Next Frontier
Exploring AI's potential to revolutionize healthcare, from enhancing diagnostics to automating tasks. Discusses advancements, ethical challenges, and the future of AI in biomedicine.
Integrating AI and Machine Learning in Life Sciences - Allen School Colloquia
Exploring AI integration in life sciences, covering explainable AI, COVID-19 detection, cancer precision medicine, and biological discovery through advanced machine learning techniques.
Computer Vision to Phenotype Human Diseases Across Physical and Molecular Scales
Innovative computer vision algorithms for disease phenotyping across scales, from video-based heart function assessment to spatial transcriptomics and immune cell dynamics, with focus on robust and human-compatible AI.
Learning for Never-before-seen Biomedicine
Exploring machine learning methods for predicting never-before-seen biomedical scenarios, focusing on novel class and cohort situations using ontologies and multiscale knowledge graphs.
Accelerating Scientific Discovery in Biomedicine Using Artificial Intelligence
Exploring AI's potential to accelerate biomedical discoveries, focusing on genomics and personalized medicine. Discusses cost-effective genome sequencing, automated literature curation, and reliable disease risk prediction.
Insight and Inequity by Gagandeep Kang
Exploring health inequities and insights in India, focusing on challenges in data collection, analysis, and implementation for improved public health outcomes.
ML and Health Care - An Obgyn Perspective by Uma Ram
Explore machine learning applications in obstetrics and gynecology from an expert's perspective, focusing on potential benefits and challenges in women's healthcare.
Introduction to Probability, Statistics, Statistical Testing
Explore fundamental concepts of probability, statistics, and statistical testing, essential for understanding data analysis and machine learning in health and disease research.
Data- Access, Analysis and Distillation by K VijayRaghavan
Explore data access, analysis, and distillation techniques for machine learning in healthcare. Learn to harness computational methods for understanding health-related data across multiple domains.
Heterogeneity of Type-2 Diabetes in India - I by V Mohan
Explore the diverse manifestations of Type-2 Diabetes in India with Dr. V Mohan, gaining insights into its unique characteristics and implications for diagnosis and treatment in the Indian population.
Quantum Algorithms for Chemistry - Part 2
Explore advanced quantum algorithms for chemistry applications, focusing on recent developments and their potential impact on computational chemistry and materials science.
How AI is Revolutionizing Science
Explore how AI is transforming scientific research, particularly in life sciences, and its potential impact on the scientific method. Gain insights into the revolutionary changes AI brings to various fields.