Previous Webinars

👥 Speakers & Panelists

Below are the speakers listed on the AI for Health 2025

• Dr. Hai Van Pham — Associate Professor (AI, applied AI, soft computing, machine learning, big data)
• Dr. Claris Mahambo Siyamayambo — Mathematical statistician & researcher
• Dr. Huang Wei Ling — Medical practitioner, specialist in infectious & parasitic diseases & Traditional Chinese Medicine
• Dr. Atlanta Choudhury — Researcher in AI, communication, medical electronics
• Dr. Ashish Aggarwal — Expert in AI, neural networks, neuroscience, brain signal processing
• Dr. Dror Malka — Senior Lecturer, engineering / electrical engineering
• Chase Goldberg — Student (MS4) with a focus on AI in neurology and clinical translation
• Reshma Rikki – Student , Osmania University , Hyderabad

✨ Highlights & Key Themes

Here are the major messages, takeaways, and themes from AI for Health 2025

• Exploration of AI in robotic surgery and interventional medicine
• Transformative applications of AI in diagnostics, clinical decision support, imaging, predictive analytics
• Cross-disciplinary engagement: clinicians, AI researchers, health tech innovators, policymakers, etc.
• Focus on ethical AI, data governance, real-world deployment challenges (implied by “Transforming Medicine Through AI” context)

👥 Speakers & Panelists

Below are the speakers listed on the AI for Health 2025

Speaker / Role	Topic / Session	Notes
Dr. Robert Ford (GenScript)	AI-based methods for antibody therapeutic developability and engineering	Presented in workshop / special session
Dr. Jid Purohoo	“On the Use of IgG1 Fcs to inhibit IAV and IBV cell entry”	Oral presentation / case study
Dr. Kimberlene Shen	Topics like CRISPR, tissue engineering, biofabrication, therapeutic pipelines	Implied in the conference’s scope from the PDF program

Session Formats included:

• Keynote talks
• Oral presentations
• Poster / e-poster sessions
• Panel discussions / Q&A rounds

🧭 Highlights & Takeaways

• The webinar showcased cutting-edge breakthroughs in genomics, bioengineering, and therapeutics — aligning academic insight with translational biomedicine.
• Special focus on how AI & computational methods can accelerate biologic / antibody engineering (as in Dr. Ford’s session)
• Emphasis on translational case studies (e.g. IgG1 Fcs, novel therapeutics)
• Engaged format: combination of keynotes + deep dives + interactive panels