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Explore cutting-edge research and innovative approaches in rare disease treatment, from interventional genetics to biotech development, with insights from leading experts in the field.
Explore AI innovations advancing clinical care, from theoretical foundations to practical therapeutic applications in biomedical research and healthcare.
Explore the crucial role of postmortem human brain studies in advancing research on nervous system disorders with Dr. Sabina Berretta from the NIH NeuroBioBank.
Explore ethical considerations in genomics research, covering key principles and challenges in this rapidly evolving field. Gain insights into responsible practices and decision-making.
Explore large-scale causal discovery using factor directed acyclic graphs and differentiable optimization. Learn about causal representation learning for genetic perturbations and combinatorial extrapolation.
Explore techniques for integrating genome-wide association studies with functional data, enhancing understanding of complex trait genetics and disease mechanisms.
Explore the evolution of non-invasive prenatal testing in this comprehensive overview, covering key developments, technological advancements, and their impact on genetic screening.
Explore protein-glycan interactions in immunity with Professor Laura Kiessling's seminar, part of the Broad-MIT Chemical Biology series.
Explore CellOracle, a machine learning tool for analyzing cell identity through transcription factor regulation. Learn its applications in hematopoiesis, embryogenesis, and cellular reprogramming.
Explore generative diffusion models for protein design, covering theoretical foundations and applications in sequence and structure generation for optimized engineering and biological insights.
Explore advanced concepts in medical and population genetics, focusing on complex trait analysis, human genetic variation, and cutting-edge sequencing methods.
Explore deep learning and single-cell genomics tools for interpreting human genetic variation with Oliver Stegle from EMBL and DKFZ.
Explore causal representation learning techniques for integrating multi-modal data in this workshop by Caroline Uhler from MIT and Broad Institute.
Explore interpretable clustering techniques for single-cell transcriptomes with Jesper Madsen, enhancing understanding of genomic mechanisms and data integration.
Explore scaling variant-to-function approaches for metabolic disease research with insights from a leading genomics expert at the Broad Institute.
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