05/21/2026
[十週年年會] AI 正在快速改變醫療與生技產業。
除了收集更多資料,真正重要的是如何把龐大的健康數據,轉化成能幫助研究、臨床決策與個人化醫療的實際行動。
今年 SoCal TBA 十週年年會的 panel session:
From Health Data to Action: AI Across Devices, Insights, and Personalized Care
將集結四位來自神經科技、數位健康、AI 藥物研發與計算生物學領域的專家,分享 AI 如何重新定義未來醫療。
❇️ Yao-Chuan Chang|Principal System Engineer at Synchron
專注於新世代腦機介面(BCI)醫療裝置開發,推動神經科技與臨床應用整合。
❇️ Sheng-Hsiou (Shawn) Hsu|CTO at Kura Care Inc.
運用生成式 AI 與機器學習,打造個人化數位健康平台。
❇️ Chien-Cheng (Mike) Shih|Data Scientist at Novartis
以 AI 與電腦視覺技術加速影像分析、表型篩選與藥物研發。
❇️ Yi Hsiang Hsu|VP at ProFound Therapeutics
帶領多體學、人類遺傳學與 AI 團隊,推動精準醫療與生物標記開發。
這場 panel 將深入探討:
🔹 AI 如何整合跨領域生醫資料
🔹 從裝置、影像到基因體資料的實際應用
🔹 個人化醫療與精準醫療的未來方向
🔹 AI 如何改變藥物開發與臨床研究流程
如果你對 AI、生技、數位健康、精準醫療或未來醫療趨勢有興趣,這場討論不要錯過。
🎟 報名將於 6/14截止, #連結在留言區 👇
AI is rapidly transforming how we discover, interpret, and apply health data across the biomedical ecosystem.
At the SoCal TBA 10th Anniversary Symposium, our panel
“From Health Data to Action: AI Across Devices, Insights, and Personalized Care” brings together leaders working at the intersection of neurotechnology, digital health, AI-driven drug discovery, and computational biology.
Featured speakers include:
❇️ Yao-Chuan Chang, Principal System Engineer at Synchron
Leading the architecture, integration, and verification of next-generation Brain-Computer Interface medical devices. With over 15 years of experience in biomedical engineering, neurostimulation, and neuroscience, he has worked across the central, peripheral, and retinal nervous systems. Before Synchron, he served as a Senior Biomedical/Neural Engineer at Medtronic and as a Staff Scientist at The Feinstein Institutes.
❇️ Sheng-Hsiou (Shawn) Hsu, CTO at Kura Care Inc.
Leading the development of a generative AI and machine learning platform for personalized digital health. He began his career at Google X, was a founding member of neurotechnology startup NextSense, and later served as Director of Data Science at Arctop, advancing brain-computer interfaces and human-AI interaction. Outside of his core work, he mentors others through career coaching and remains passionate about how humans and AI can collaborate more effectively.
❇️ Chien-Cheng (Mike) Shih, Data Scientist at Novartis
Applying AI and computer vision to drug discovery across data modalities from cellular to medical imaging. He works closely with biologists and chemists to translate experimental questions into machine learning workflows, with a focus on phenotypic screening and image-based assays. Previously, he was a research scientist in image informatics at Washington University's Center for Cellular Imaging.
❇️ Yi Hsiang Hsu, VP at ProFound Therapeutics
Applying AI, statistical methods, and bioinformatics to drug target and biomarker discovery, as well as clinical trial design and patient stratification across multiple disease areas, including oncology, autoimmune, inflammatory, and cardiometabolic disorders. Previously, he held academic and program leadership roles at Harvard Medical School, the Marcus Institute for Aging Research, and the Broad Institute of MIT and Harvard, with over 15 years of experience spanning translational genomics and computational biology.
Together, they’ll explore how AI is reshaping biomedical decision-making — from devices and imaging to genomics, clinical insights, and personalized care.
If you're interested in AI, biotech, digital health, or the future of precision medicine, this is a conversation you won’t want to miss.
🎟 Registration closes June 14. 👇