
In 46 episodes, Hank Green teaches you the history of science! This course is based on the 2nd and 3rd edition of Science & Technology in World History by McClellan & Dorn.

Comprehensive review of life science fundamentals: cells, genetics, evolution, body systems, ecology, and classification. Covers key concepts for a solid understanding of biology.

Comprehensive video series explaining CSIR NET life sciences exam problems, covering molecular biology, genetics, biochemistry, and cell biology. Includes step-by-step solutions and practical applications of key concepts.

Explore geometric deep learning techniques for drug discovery, covering graph neural networks, molecule generation, and retrosynthetic prediction. Gain insights into cutting-edge research and applications in pharmaceutical development.

Explore deep learning applications in diabetic retinopathy detection, enhancing early diagnosis and treatment of this sight-threatening condition through advanced image analysis techniques.

Explore AI applications in OBGYN ultrasound imaging, focusing on advanced techniques for improved diagnosis and patient care in obstetrics and gynecology.

Explore neural engineering's advancements in understanding complex neurological disorders through brain-in-a-dish technology, intracellular sensors, and interdisciplinary collaboration.

Exploring HIV vaccine and cure prospects, this lecture covers epidemic status, molecular approaches, challenges, and potential breakthroughs in HIV research and treatment strategies.

Explore innovative drug development techniques using Spatial SILAC in 3D cell cultures, presented by Prof. Amanda Hummon from Ohio State University.

Explore the latest advancements in breast cancer biology, including disease subtypes, targeted therapies, and immunotherapy approaches, with insights on ongoing research and clinical trials.

Strategies to address the Asian leadership paradox in healthcare, focusing on research inclusion, career advancement, and creating inclusive environments. Insights from Dr. Karen Kim's personal journey and leadership perspective.

Explore AI's transformative impact on healthcare through Stanford Medicine's innovations, including automated transcription and augmented reality in surgery, guided by responsible AI principles.

Explore cutting-edge applications of deep learning in genomics, drug design, protein folding, pathology, and neuroscience. Gain insights into AI's transformative potential in life sciences research and healthcare.

Explore deep learning applications in genomics, from neural networks to single-cell analysis. Gain insights into regulatory genomics, epigenomics, and genetics through advanced computational techniques.

Explore biomedical engineering's role in cancer diagnosis and treatment, from tumor biology to drug development, highlighting challenges and opportunities for innovation in the field.

Explore cell communication mechanisms, receptor-ligand interactions, and signal transduction pathways. Learn about drug development applications and different types of cellular signaling.

Graduates share insights on studying Biomedicine, discussing subjects, career paths, research opportunities, and valuable tips for prospective students in this informative panel discussion.

Explore computational approaches for driving self-assembly of complex structures, unlocking new possibilities in materials science and nanotechnology.

Explore how modern mathematics enhances our understanding of life sciences, bringing an "extra sense" to biological research as envisioned by Charles Darwin.

Explore the evolving landscape of Hepatitis C treatment, including decreasing prevalence, new therapies, special populations, and future predictions for this potentially vanishing disease.

Explore the transformative potential of generative AI in medicine through this 24-minute conference talk delivered by Ali Mahdipour Shirayeh from Princess Margaret Cancer Center, University Health Network. Delve into the cutting-edge applications of AI t…