How AI Is Revolutionizing Biotech & Pharma Research With Liran Belenzon

Biotech Bytes: Conversations with Biotechnology / Pharmaceutical IT Leaders

The Future of AI in Pharma & Biotech Research #aiinbiotech #pharmaresearch #drugdiscovery

AI is fundamentally changing the way biotech and pharmaceutical research happens. From analyzing vast datasets to accelerating drug discovery, AI-powered solutions are making labs smarter, faster, and more efficient. But how does it actually work? Please visit our website to get more information: https://swangroup.net/

In this episode, I sit with Liran Belenzon, CEO of BenchSci, to explore how AI reshapes pharmaceutical research. We discuss:

✅ The biggest challenges of working with scientific data
✅ Why big pharma companies prefer AI-powered platforms over in-house solutions
✅ How multimodal AI enhances lab efficiency and accelerates drug development

Liran also shares his journey from being an MBA student to leading a company that works with 12 of the world’s top 20 pharma companies. If you're curious about the intersection of AI, biotech, and research, this episode is a must-watch. Let’s talk about the future of AI in biotech. What excites you the most? Let me know in the comments.

Links from this episode:

✅ Get to know more about Liran Belenzon: https://www.linkedin.com/in/liranbelenzon
✅ Learn more about BenchSci: https://www.benchsci.com
✅ Follow BenchSci for updates on AI in biotech: https://ca.linkedin.com/company/benchsci

🔔𝐃𝐨𝐧'𝐭 𝐟𝐨𝐫𝐠𝐞𝐭 𝐭𝐨 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐨𝐮𝐫 𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.

https://www.youtube.com/@Biotech_Bytes/?sub_confirmation=1

🔗 Stay Connected With Us.

Linkedin: https://www.linkedin.com/company/the-swan-group/

Website: https://swangroup.net/

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🔎 Related Phrases:

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#aiinbiotech #pharmaresearch #artificialintelligence #biotechinnovation #drugdiscovery #machinelearning #labautomation #medicalresearch #futureofai

Chapters

1. Introduction (00:00:00)

2. About Liran Belenzon (00:01:26)

3. The gap in scientific research that led to BenchSci’s creation (00:03:50)

4. Challenges in working with unstructured scientific data (00:07:43)

5. How AI-powered tools accelerate research and productivity (00:10:20)

6. Data security, compliance, and handling proprietary pharma data (00:14:42)

7. Why big pharma partners with AI companies instead of building in-house solutions (00:17:28)

8. The role of AI in drug discovery and research workflows (00:22:56)

9. How multimodal AI enhances lab efficiency (00:25:08)

10. The future of AI in biotech and pharma research (00:28:23)

11. Liran’s take on leadership, company culture, and innovation (00:30:48)