AI and Healthcare

How AI Screening Is Shaping the Future of Drug Discovery with Tom Neyarapally

Mika Newton and Tom Neyarapally discuss how AI is changing the landscape of drug discovery. They examine the role of machine learning, patient data, and computational tools in accelerating the process, reducing costs, and improving the chances of developing effective treatments. The conversation covers how AI-driven screening, drug repurposing, and real-world data integration are helping to overcome traditional challenges in bringing new therapies to patients faster. They also examine the potential for collaboration between AI technology and clinical expertise to drive future breakthroughs in medicine.

What’s the future of AI in transforming drug discovery?

Mika Newton and Tom Neyarapally explore how advancements in AI are accelerating the development of new algorithms, improving target discovery, and enhancing high-throughput screening. The conversation highlights the challenges and opportunities in aggregating innovative technologies, the convergence of AI tools in healthcare, and the potential for personalized and economically viable drug development.

How does AI driven screening speed up cancer treatment R&D?

Explore how AI is transforming drug discovery by enabling the rapid screening of billions of molecules and identifying new uses for existing drugs. This approach integrates patient data with advanced tools to predict effective treatments for diseases with unmet medical needs, significantly reducing the time and cost of development.

AI's Role in Modern Healthcare with Dr. Debra Patt

In this episode, Dr. Sanjay Janeja and Dr. Debra Patt discuss AI in healthcare. They cover its applications in cancer care, from improving diagnostics and treatment decisions to enhancing patient education and real-time symptom management. The conversation also highlights AI's potential in drug discovery, reducing healthcare costs, optimizing administrative workflows, and addressing the challenges of data integration and biases in AI systems. Together, they emphasize the importance of collaboration between clinicians and digital tools to deliver better, more efficient patient care.

Patients, data, and profits

Dr. Sanjay Juneja and Dr. Debra Patt discuss patient data in healthcare, including de-identification, data aggregation for research, and the evolving role of AI. They explore how communication systems and real-world evidence improve care delivery, reduce ER visits, and enhance efficiency for healthcare providers.

Why Is The Drug Discovery Market So Slow?

Mika Newton and Tom Neyarapally discuss how advancements in data, AI tools, and computing power are transforming drug discovery, particularly in oncology. They explore patient-centric approaches, in silico screening, and strategies to reduce the time and cost of bringing new treatments to market.

Insights from the Chair of the ASCO AI Taskforce

An overview of ASCO's approach to artificial intelligence in cancer care, focusing on responsible use, transparency, and the importance of keeping physicians at the center of decision-making. The clip discusses guidelines, challenges like biases and model limitations, and how AI can complement personalized care.

How is AI Helping Healthcare Providers Today?

Dr. Debra Patt and Dr. Sanjay Juneja explore how AI is reshaping healthcare, focusing on its impact on physicians and patient care. Discover how AI tools are seamlessly integrated into care delivery, from enhancing cancer diagnostics and automating clinical documentation to improving administrative efficiency. Learn about AI-powered scribe services that reduce doctors’ workloads, enabling real-time patient notes, better disease management, and enhanced communication with caregivers. Additionally, we explore AI's role in drug discovery, clinical trial optimization, and streamlining insurance approvals.