Sam Gupta

Eli Lilly and Company expands Welldoc partnership to use AI and extend its reach across the patient journey >> 💊 Lilly has expanded its partnership with Welldoc to launch the new Lilly Health app for patients prescribed Zepbound (for weight loss) or Mounjaro (for diabetes) 💊 The app provides medication reminders, dose logging with visual progress, and syncs with compatible health devices to track data like weight, glucose, and activity 💊 Built on Welldoc’s FDA-cleared cardiometabolic platform, the app is free to use and offers AI-driven insights, nutrition and exercise tools, and trend tracking to support long-term health management 💊 The platform aims to enhance care coordination between patients and providers for complex cardiometabolic conditions, including obesity, diabetes, and even sleep apnea 💊The expanded partnership builds on Lilly’s 2021 integration of Welldoc into its Tempo system, reflecting a broader push to create a more seamless, connected, and personalized experience for patients on its incretin therapies #digitalhealth #ai #pharma

163

11 Comments

Grit. Resilience. Adaptability. ZS’s R&D roadshow recently stopped in Chicago, where I spoke with our team about how these three qualities will define success in this era of accelerating innovation. In just 18 months, we’ve gone from calling LLMs “stochastic parrots” to deploying AI agents capable of recursive reasoning and comprehensive research. Expertise still matters, of course. But what will really separate high-performing teams now and in the future are their human skills and how they complement this rapidly developing technology. To highlight the importance of grit, resilience and adaptability, I shared a story with the Chicago team from a ski trip last winter. I started the ski day, as I usually do, on a quest for the perfect run. What I got instead was a six-hour, solo climb (at times on my hands and knees) out of the Swiss backcountry, when I took a wrong path down the mountain. The day wasn’t what I hoped for, but I switched my plan in the moment to focus on my personal safety. That experience reminded me of some important lessons, which apply equally to backcountry skiing and evolving in the age of AI: - Grit is doing the boring work every day that prepares you for critical moments as you pursue a long-term goal. - Resilience is pushing through when things go sideways. - Adaptability is knowing when the goal needs to change. Some days don’t go the way we expect, but we need to find a way to push through them. These qualities can prepare us to thrive and lead in a period of change that will, without doubt, throw unexpected challenges at us. Let’s commit to putting in the work, shifting whenever we need to and recalibrating our goals when circumstances change.

143

3 Comments

Personalization at scale is a system capability — not a campaign tactic. This 3×3 grid shows how hybrid personalization actually works on the ground — where automation, DigiReps, and field reps are coordinated through shared rules, content, signals, and governance. When front-end engagement, back-end orchestration, and enablers operate as one system, personalization stops being episodic and starts compounding. In your experience, which layer usually breaks first — front-end execution, back-end orchestration, or governance? Part 3 of the Beyond Digital series breaks this architecture down from an execution lens. ⬇️ Full article link in the comments #BeyondDigital #PersonalizationAtScale #HCPEngagement

4

1 Comment

Fierce Pharma Day 2 - Highlights from the panel “The Power of Data-Driven Insights: Harnessing Real World Evidence and Communication Strategies to Drive Patient Centered Care” with Archie Stone, PhD, Peter Covitz, Shashi Shankar, Utpal Parekh, and Deepa Lalla as moderator. 🏨 Patient Registries as RWE Generators. The FDA is increasingly using real-world evidence as part of its approvals, and patient registries can provide large and longitudinal sources. 🔬 Redefining the Evidence Hierarchy. The traditional evidence pyramid is being reconstructed. RCTs no longer stand alone—unstructured, real-world data is gaining legitimacy through breakthrough data science capabilities. 🏁 AI Speed vs. Patient Rights. AI can now map patient journeys very rapidly, but consent and patient data rights remain critical. Speed means nothing without trust. Real-world evidence isn't just nice-to-have anymore - it's the foundation of patient-centered care. Our belief at Salura Health is that peer-to-peer conversations play a vital role in the future of RWE, and we've built a system to do that, at scale, delivering population health and ethnographic insights in days.

13

1 Comment

100% agree with Dmitri Tcherevik! Rich in content and timely report by Ramesh Raskar and Massachusetts Institute of Technology Nanda team on the state of AI in Business 2025. “The core barrier to scaling is not infrastructure, regulation, or talent. It is learning. Most GenAI systems do not retain feedback, adapt to context, or improve over time. A small group of vendors and buyers are achieving faster progress by addressing these limitations directly. Buyers who succeed demand process-specific customization and evaluate tools based on business outcomes rather than software benchmarks. They expect systems that integrate with existing processes and improve over time. Vendors meeting these expectations are securing multi-million-dollar deployments within months. While most implementations don't drive headcount reduction, organizations that have crossed the GenAI Divide are beginning to see selective workforce impacts in customer support, software engineering, and administrative functions. In addition, the highest- performing organizations report measurable savings from reduced BPO spending and external agency use, particularly in back-office operations. Others cite improved customer retention and sales conversion through automated outreach and intelligent follow-up systems. These early results suggest that learning-capable systems, when targeted at specific processes, can deliver real value, even without major organizational restructuring.” #mitemba20 #ai #mit #parexelwithheart

6

𝗔𝗜 𝗶𝘀 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝘁𝗿𝘂𝘀𝘁 𝗰𝗮𝗻 𝗸𝗲𝗲𝗽 𝘂𝗽. We build systems to move faster, predict better, and know more. But trust? That still takes time—and design. That idea became the starting point for the new episode of 𝘊𝘰𝘯𝘵𝘦𝘯𝘵 𝘵𝘩𝘢𝘵 𝘊𝘰𝘯𝘯𝘦𝘤𝘵𝘴, hosted by Gaurav S., Managing Director at Closing Delta. Together, we explored one question shaping every conversation in 2026: 𝗧𝗵𝗲 𝘁𝗿𝘂𝘀𝘁 𝗴𝗮𝗽 𝗶𝗻 𝗔𝗜 𝗶𝘀 𝗴𝗿𝗼𝘄𝗶𝗻𝗴—𝘀𝗼 𝗻𝗼𝘄 𝘄𝗵𝗮𝘁? Because while AI is everywhere, trust isn’t. And as the data shows, 70% of people still have little to no confidence that companies will use AI responsibly. For leaders, the message is clear: 𝗧𝗿𝘂𝘀𝘁 𝗰𝗮𝗻’𝘁 𝗯𝗲 𝗱𝗲𝗰𝗹𝗮𝗿𝗲𝗱. 𝗜𝘁 𝗺𝘂𝘀𝘁 𝗯𝗲 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱. That means weaving transparency, accountability, and care into how we build and deploy technology—not as compliance, but as a competitive advantage. A few weeks ago, many of you shared your curiosity about AI, leadership, and transformation. Your votes, ideas, and questions—thank you Laura Holden Felicia Sanborn Sara Lambert Nate Challen Michael Damiano Sabina Kapp Cecilia Baeza-Castro—helped shape this conversation from the start. 🎙️ Full episode now streaming on the Closing Delta YouTube channel. 🔗 Link in comments. Here’s to more conversations that connect—and the trust that makes them possible. 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝘁𝗵𝗮𝘁 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝘀 × 𝗧𝗵𝗲 𝗛𝘂𝗺𝗮𝗻 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 ––– 𝘍𝘰𝘭𝘭𝘰𝘸 Closing Delta 𝘢𝘯𝘥 The Human Algorithm Advisory 𝘵𝘰 𝘴𝘵𝘢𝘺 𝘤𝘭𝘰𝘴𝘦 𝘵𝘰 𝘸𝘩𝘦𝘳𝘦 𝘩𝘶𝘮𝘢𝘯𝘪𝘵𝘺, 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯, 𝘢𝘯𝘥 𝘤𝘰𝘯𝘵𝘦𝘯𝘵 𝘮𝘦𝘦𝘵.

42

9 Comments