
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.

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.

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 genetic diversity's impact on cell line models and CRISPR tools. Learn how increasing diversity enhances scientific insights and translational benefits for equitable biomedical research.

Explore public health strategies for managing hypertension, including burden assessment and effective interventions. Learn about population-level approaches to prevent and control high blood pressure.

Explore survival analysis prediction for cancer patients using machine learning techniques. Learn to harness computational methods for improved patient outcome forecasting and healthcare decision-making.

Explore the potential of machine learning and AI in improving obstetric risk assessment, enhancing patient care and outcomes in maternal health.

Learn to automate bone age assessment from pediatric X-rays using machine learning techniques. Explore practical applications in healthcare for more efficient and accurate diagnoses.

Explore opportunities and challenges in cancer diagnostics, focusing on innovative approaches and potential advancements in early detection and personalized treatment strategies.

Explore machine learning techniques for survival analysis of cancer patients, focusing on predicting outcomes and analyzing clinical data to enhance patient care and treatment strategies.

Discover how black bears' hibernation mechanisms could revolutionize organ preservation and protection during medical procedures, drawing insights from groundbreaking research in ischemic protection.

Explore AI applications in medical imaging for precision medicine, covering deep learning techniques, image analysis, and their impact on diagnosis and treatment planning.

Explore AI applications in lung disease diagnosis, from analyzing cough sounds to interpreting CT scans. Learn how machine learning enhances detection and treatment of respiratory conditions.

Explores the role of Gestational Diabetes Mellitus in obesity, diabetes, and cardiovascular disease epidemics, discussing its causes, impacts, and potential interventions.

Exploring the Healthy Life Trajectories Initiative's implementation, challenges, and future prospects, focusing on improving health outcomes through data-driven approaches and collaborative research.

Explore machine learning applications in microbial genomics, focusing on data analysis techniques and their relevance to understanding microbial genetic structures and functions.

Explore the link between gestational diabetes and the diabetes epidemic, examining causes, impacts, and potential interventions to address this growing health concern.

Explore retinal imaging techniques for detecting neurodegenerative diseases. Learn about advanced imaging methods and their potential in early diagnosis and monitoring of neurological conditions.

Exploring AI's potential to revolutionize healthcare, from enhancing diagnostics to automating tasks. Discusses advancements, ethical challenges, and the future of AI in biomedicine.