Mannoj Kenkare

Senior Partner Life Sciences Lead @IBM | Ex-Accenture Partner | 🇺🇸

[Bo Wang @BoWang87]

My team is hiring an AI Scientist at @Xaira_Thera to build multimodal foundation models for biology.

The problem: microscopy/H&E images and omics measurements provide commentary views of the same cells. We want models that fuse them, generate across them, and infer the missing view from the observed one.

If you've worked on cross-modal representation learning, diffusion, or large-scale self-supervised training , this is the job.

👉 https://t.co/HmnaWVc46r

[Sohan @HiSohan]

computational neuroscience has always known that real computation is spatial, temporal, and deeply non-linear. but for 30 years, simulating that reality meant relying on CPU-bound, non-differentiable tools. we built the engine to break that bottleneck.

[Interesting Engineering @IntEngineering]

Scientists from POSTECH and Kyungpook National University have developed a 3D-printed artificial cornea using a custom bioink derived from real corneal tissue and stem cells. Unlike previous synthetic corneas that struggled with transparency or biocompatibility, the team replicated the precise collagen lattice structure of a natural cornea by carefully controlling shear stress during the printing process. In animal model tests, the implants integrated successfully within four weeks, achieving transparency levels nearly identical to a natural human cornea. With average transplant waiting times exceeding six years in many regions, the technology could offer a scalable alternative to donor tissue. The team is moving toward commercialization, though further human trials will be needed before clinical use.

#RegenerativeMedicine #3DPrinting #Biotech #MedicalResearch #Cornea

[a16z speedrun 🧊 @speedrun]

REQUEST FOR STARTUPS: There has never been a better time to build at the intersection of health and AI.

Every corner of medicine is being reimagined, and dermatology is one of the most compelling places to start.

Hear it from @evajsteinman 👇

[Mannoj Kenkare @kenksx]

LAX to downtown LA. 60 minutes by car. 8 minutes by air taxi. At a lower price point than an Uber. From a helipad on your roof. That future is closer than you think. @elonmusk

https://t.co/HOnaEETsBK

[Mustafa Suleyman @mustafasuleyman]

We're approaching the dawn of medical superintelligence - the moment when affordable, world-class medical knowledge and support is at your fingertips whenever you need it.

I think people are still underestimating how profound this transformation is going to be. Today we're announcing Copilot Health, enabling users to connect all their EHR records and wearable data in a secure, private health space that Copilot can analyze and reason about to provide personalized insights and proactive nudges.

You choose what information to connect - from hospital lab results to your fitness tracker - and Copilot Health applies medical intelligence to surface easy to understand, personalized insights that you can actually act on.

It's a dedicated space to bring your personal health data together in a single profile, including:
- Activity, sleep, and vital trends from 50+ wearable devices, including Apple Health, Oura, Fitbit and many more
- Health records from 50,000+ U.S. hospital and health systems, including visit summaries, medications, and test results
- Comprehensive lab test results from Function

Copilot Health enables people to arrive at their appointment with the right questions and the right context to make the time they have with doctors really count.

Your data is always your data, and you are always in full control. Your data won't be used to train our AI models, and you can disconnect sources at any time. Our Copilot Health responses are also grounded in information from credible health organizations like Harvard Health, as well as real-time US provider directories to find the right real-world care.

Copilot Health is launching first in the US to adults over 18, but we ultimately want to make this service available to the billions of people around the world who struggle to access reliable medical advice. Please give it a go and sign up to join the early Copilot Health community and help shape what comes next.

More on the MAI blog: https://t.co/yw1qrPYycW

[Satya Nadella @satyanadella]

We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.

[lily zhang @lily_gpupoor]

This is going to be huge if true @a1zhang fascinating talk

[All day Astronomy @forallcurious]

BREAKING🚨: Your consciousness can connect with the whole Universe, groundbreaking research reveals

[David Senra @davidsenra]

My conversation with Marc Andreessen (@pmarca), co-founder of @a16z and Netscape.

0:00 Caffeine Heart Scare
0:56 Zero Introspection Mindset
3:24 Psychedelics and Founders
4:54 Motivation Beyond Happiness
7:18 Tech as Progress Engine
10:27 Founders Versus Managers
20:01 HP Intel Founder Legacy
21:32 Why Start the Firm
24:14 Venture Barbell Theory
28:57 JP Morgan Boutique Banking
30:02 Religion Split Wall Street
30:41 Barbell of Banking
31:42 Allen & Company Model
33:16 Planning the VC Firm
33:45 CAA Playbook Lessons
36:49 First Principles vs. Status Quo
39:03 Scaling Venture Capital
40:37 Private Equity and Mad Men
42:52 Valley Shifts to Full Stack
45:59 Meeting Jim Clark
48:53 Founder vs. Manager at SGI
54:20 Recruiting Dinner Story
56:58 Starting the Next Company
57:57 Nintendo Online Gamble
58:33 Building Mosaic Browser
59:45 NSFnet Commercial Ban
1:01:28 Eternal September Shift
1:03:11 Spam and Web Controversy
1:04:49 Mosaic Tech Support Flood
1:07:49 Netscape Business Model
1:09:05 Early Internet Skepticism
1:11:15 Moral Panic Pattern
1:13:08 Bicycle Face Story
1:14:48 Music Panic Examples
1:18:12 Lessons from Jim Clark
1:19:36 Clark Versus Barksdale
1:21:22 Tesla Versus Edison
1:23:00 Edison Digression Setup
1:23:13 AI Forecasting Myths
1:23:43 Edison Phonograph Lesson
1:25:11 Netscape Two Jims
1:29:11 Bottling Innovation
1:31:44 Elon Management Code
1:32:24 IBM Big Gray Cloud
1:37:12 Engineer First Truth
1:38:28 Bottlenecks and Speed
1:42:46 Milli Elon Metric
1:47:20 Starlink Side Project
1:49:10 Closing

Includes paid partnerships.

[Ron Alfa @Ronalfa]

That's neat @satyanadella but we’ve trained a multimodal AI model to turn pathology into the whole spatial transcriptome. @NOETIK_ai

[Vinod Khosla @vkhosla]

Really valuable to understand why LLM's out of the box are not good but are invaluable with added intelligent guidance, safeguards, triage etc...

[Camus @newstart_2024]

FDA Commissioner Dr. Marty Makary calls the demonization of hormone replacement therapy (HRT) for postmenopausal women “the biggest screw-up of modern medicine.”

Key points from his explosive take:

- A misinterpreted 2002 NIH study (led by a Fauci-like figure) claimed HRT causes breast cancer — but the increase was not statistically significant, and no subsequent study has shown increased breast cancer mortality.

- Women were scared off a treatment that dramatically improves quality of life and extends life.

- Benefits include:

- 25–50% lower risk of fatal heart attacks (leading killer in women)
- ~90% reduction in osteoporosis risk

- Prevention of cognitive decline

- Relief from severe symptoms lasting ~8 years on average (hot flashes, night sweats, mood swings, painful sex, weight gain)

- Marriages have been saved, lives improved — yet doctors were trained to dismiss symptoms as “tough it out” or prescribe antidepressants instead.

- Starting HRT within ~10 years of menopause (ideally ~50) maximizes benefits and safety; after ~60, the risk-benefit shifts.

Makary: This was dogma, not data — and it cost women decades of health.

The tide is turning. Are you (or someone you know) reconsidering HRT after this?

Raw, no-filter truth about one of the largest medical reversals in history

[Eric Topol @EricTopol]

The reactivation of herpes simplex virus (HSV-1, not only herpes zoster) may be tied to accelerated aging and dementia, and account in part for the mechanism of Shingrix vaccine''s protection @WIRED
https://t.co/iKF1JcYSu0

[Nicholas Fabiano, MD @NTFabiano]

Repetitive negative thinking is associated with the accumulation of Alzheimer's dementia protein in the brain.

Stay positive.

[Mannoj Kenkare @kenksx]

Hospital AI Readiness Index published by CB Insights (dated around July 2024)

Overall Observations

There's a big gap between the #1 (Mayo) and everyone else — it has roughly 25% higher score than #2.
Many top systems balance both pillars, but some (e.g., HCA, CHS, Johns Hopkins) lean heavily toward execution — they're good at deploying third-party or off-the-shelf AI rather than originating it.
The index highlights that AI readiness in hospitals still varies widely — even among large systems, many remain in "emerging" territory.
This reflects 2024-era data; AI moves fast, so some systems may have advanced significantly since publication (e.g., new deployments or partnerships).

[Curiosity @CuriosityonX]

After traveling 9 years and covering 3 billion miles, NASA's New Horizons spacecraft got this shot.

Behold! The icy mountains of Pluto.

[Steve Jurvetson @FutureJurvetson]

The shot heard round the Rim 🇨🇳
10 years ago, Google’s AlphaGo, an AI built with RL, beat a human champion and shocked China into action:

“In China, Go wasn’t just a game. It represented a wider nexus of history, emotion, and strategic calculation. AlphaGo helped focus government minds even more acutely on AI. Today, China has an explicit national strategy to be the world leader in AI by 2030 ‘making China the world’s primary innovation center’ from defense to smart cities” (Mustafa Suleyman, The Coming Wave, p.120)

And by coincidence, after dinner tonight, I saw my first game of Go, played and won by a current leader of Google AI.

[Ian Weissman, DO @DrIanWeissman]

Mammograms may show signs of heart disease risk. AI detected calcium deposits in more than 120,000 scans. Women with severe calcium deposits had double the heart risk.
https://t.co/9OUwEvvHNE