𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐀𝐈 𝐢𝐧 𝐏𝐡𝐚𝐫𝐦𝐚: 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐏𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐃𝐫𝐮𝐠 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐰𝐢𝐭𝐡 𝐍𝐞𝐱𝐭-𝐆𝐞𝐧 𝐓𝐞𝐜𝐡 | Microsoft Fabric Thursdays Expert Series - 2025

Details Here!

RSVP on Meetup to Attend: 

https://www.meetup.com/up-powerbiclub/events/310407137/

 

YouTube Live: https://youtube.com/live/M4IWwicIA3g?feature=share

About Speaker

Kartheek Sankranthi

Long Island University, Brooklyn

Kartheek Sankranthi is a seasoned Software Engineer with over 9 years of experience building scalable, AI-powered solutions across e-commerce, healthcare, and enterprise domains. Currently a Senior Frontend Engineer at Abercrombie & Fitch, he specializes in React, GraphQL, and cloud-native architectures. Kartheek has led impactful initiatives like developing AI-driven supply chain systems for Johnson & Johnson and architecting secure, API-based review platforms that improved user engagement by over 35%. With a strong foundation in predictive modeling, automation, and cross-functional collaboration, he combines technical expertise with strategic insight to drive digital transformation and operational excellence.

 

Session Details for Aug 21, 2025: 

Drug development remains one of the most time-intensive and expensive undertakings in healthcare, often spanning over a decade and costing more than $2.8 billion per approved drug (DiMasi et al., 2016). With only 13.8% of drug candidates advancing from Phase I trials to regulatory approval (Wong et al., 2019), the industry urgently needs transformative solutions. This session explores how the intersection of quantum computing and artificial intelligence is driving a paradigm shift in early-stage drug discovery.

Quantum computing’s unique ability to simulate molecular systems using principles like superposition and entanglement enables exponentially faster and more accurate modeling of drug-target interactions. Algorithms such as the Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA) have demonstrated early success in achieving chemical accuracy for small molecules, paving the way for high-impact pharmaceutical applications.

Leading tech and pharma partnerships such as those between IBM, Google’s Quantum AI, Pfizer, and Merck are now leveraging quantum AI to reduce discovery timelines by up to 40% and lower R&D costs significantly. This convergence is also enhancing personalized medicine by uncovering complex genomic patterns that inform tailored therapies.

With quantum devices exceeding 100 qubits expected within a few years, now is the time to understand and invest in quantum-enhanced AI for pharma.

 

Be Ready to Engage:

• Bring a notepad – this is a content-rich session!
• Submit your questions beforehand via Comments.
• Ask questions live via comments or join the stage with camera/mic access – just reach out to us in advance if you’d like to participate on screen.

Don’t miss this opportunity to explore the future of Pharma!

Email: Team@uppowerbiclub.com