Featured paper: AI-enabled clinical trialsDiscover how AI is reimagining clinical trials from the ground up—using digital twins to predict patient outcomes, automated matchmaking to find eligible patients faster, and validated surrogate biomarkers to compress decade-long research into months. We explore the four-pillar AI trial framework transforming drug development while keeping human oversight at the center.
*Disclaimer: This content was generated by NotebookLM.*

Featured paper: Developing FHIR based Activity Libraries to Support Clinical Trial Direct Data Capture

In this episode, we explore how smarter data standards and interoperability tools are helping medical research move faster, safer, and with fewer errors. From FHIR and graph-based trial mapping to standard vocabularies and reusable research libraries, we look at how digital infrastructure is reducing administrative burden and making clinical trials more efficient.
*Disclaimer: This content was generated by NotebookLM.*

Featured paper: Artificial intelligence in clinical trials: A comprehensive review of opportunities, challenges, and future directions

In this episode, we explore how AI is quietly reshaping clinical research by speeding up patient recruitment, cleaning messy data, and spotting patterns that humans might miss. But as AI becomes more involved in medicine, we also ask the hard questions: how do we prevent bias, maintain trust, and keep human oversight at the center of care?*Disclaimer: This content was generated by NotebookLM.*

Featured paper: Clinical Trial Design and Regulatory Requirements for Artificial Intelligence as a Medical Device: A PRISMA-ScR–Guided Scoping Review of Global Guidance and Evidence (2017–2025)

In this episode, we explore how AI is becoming a medical device—and why that matters for patient safety, clinical trials, and trust in modern healthcare. From adaptive trial design and dataset bias to explainability, regulation, and real-world monitoring, we break down the challenges and opportunities of bringing intelligent systems into medicine without losing human oversight.*Disclaimer: This content was generated by NotebookLM.*

Featured paper: A scoping review of artificial intelligence applications in clinical trial risk assessment

Discover how AI is transforming clinical trials by predicting drug safety, efficacy, and trial success before patients are enrolled. We explore how algorithms are detecting adverse events, personalizing drug responses, and forecasting FDA approval—all to bring life-saving medicines to market faster and smarter.*Disclaimer: This content was generated by NotebookLM and has been reviewed for accuracy by Dr. Tram.*

Featured paper: A digitally controlled silicon quantum processing unit

*Disclaimer: This content was generated by NotebookLM. Dr. Tram doesn't know anything about this topic and is learning about it.*

Featured paper: Leveraging LSTM, tactile sensors, and haptic feedback to augment prosthetic control via grasp type prediction and grasp type feedback

In this episode, learn how AI and soft touch sensors are helping prosthetic hands feel more natural by translating grip type into real-time haptic feedback. Discover how tactile “skin,” LSTM pattern recognition, and vibration cues can give users better control, faster object handling, and a stronger sense of embodiment.
*Disclaimer: This content was generated by NotebookLM and has been reviewed for accuracy by Dr. Tram.*

Featured paper: Neural sampling from cognitive maps enables goal-directed imagination and planning

*Disclaimer: This content was generated by NotebookLM and has been reviewed for accuracy by Dr. Tram.*