Dr. Talia Kustin, is the Head of Data Delivery and Research at Briya which is a a healthcare startup focused on creating a marketplace for real-world data. With a Ph.D. in Bioinformatics, she specialized in viral evolution research, including COVID-related studies, before transitioning into the world of health data innovation.
In her role, Talia leads efforts in data integration, feasibility analysis, and research, ensuring seamless connections between healthcare providers and organizations seeking real-world data, such as pharmaceutical companies, medical device firms, and research institutions.
Dr. Talia Tron is a data science team lead at Briya, a company that provides rapid, secure access to patient-level clinical and real-world data for healthcare research and innovation. She holds a PhD in computational neuroscience from the Hebrew University, where she developed automatic tools for analyzing facial expressions and motor behavior in schizophrenia. Talia has extensive experience in the field of data science, having previously worked at Intuit and K-health as a senior data scientist and researcher. She has also held positions at Microsoft in the security and education domains. Talia is actively involved in the data science local community, co-founding MeDS – Medical Data Science Israel and serving as a lecturer and student’s mentor at the School of Data Science YDATA.
The healthcare industry generates approximately 30% of the world’s data volume, making real world data (RWD) the “gold mine” in the medical domain, and a crucial driving force in the health-tech and pharmaceutical industry. However, working with such data can be a total nightmare even for the most experienced data scientists. Clinicians and health admins input data into multiple systems, based on treatment, operations, and reimbursement protocols, making most electronic medical records (EMRs) unfeasible for research and AI-development purposes.
In this round table we will delve into the critical issues and unique challenges of working with medical RWD: missing medical information, detecting false positives, linking between versatile data sources, structuring medical notes, normalizing data to meet global medical coding standards and more.
After mapping out these challenges, we’ll explore some existing solutions and frameworks like UMLS, OMOP, and FHIR— and discuss their effectiveness and limitations. Finally, we’ll brainstorm strategies for harnessing medical RWD effectively, so it can truly transform healthcare decision-making.
Discussion questions:
| 8:45 | Reception |
|---|---|
| 9:30 | Opening remarks by WiDS TLV ambassadors |
| 9:45 | Dr. Mor Geva , Tel Aviv University: “MRI for Large Language Models: Mechanistic Interpretability from Neurons to Attention Heads” |
| 10:15 |
Panel: “Pioneering Progress: a strategic look at the GenAI revolution and the new role of data scientists“ Shani Gershtein, Melingo Mirit Elyada Bar, Intuit Dr. Asi Messica, Lightricks Moderated by Nitzan Gado, Intuit |
| 10:45 | Poster pitches |
| 10:55 | Break |
| 11:10 | Lightning talks session |
| 12:30 | Lunch & poster session |
|---|---|
| 13:30 | Roundtable session & poster session |
| 14:30 | Roundtable closing |
| 14:40 | Shunit Agmon, Technion: “Bridging the Gender Gap in Clinical AI: Temporal Adaptation with TeDi-BERT” |
| 15:00 | Shaked Naor Hoffmann, Apartment List: “Building Generative AI Agents for Production: Turning Ideas into Real-World Applications” |
| 15:20 | Closing remarks |
| 15:30 | The end |
WiDS Tel Aviv is an independent event that is organized by Intuit’s WiDS TLV ambassadors as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.
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Design: Sharon Geva
