Posted on 01/13/2026 9:38:09 AM PST by RoosterRedux
Nvidia on Monday announced plans to invest $1 billion over the next five years in a potentially groundbreaking joint laboratory with pharmaceutical giant Eli Lilly, and the goal is enormous — to supercharge the slow, costly process of drug discovery by integrating advanced artificial intelligence directly into laboratory workflows.
The facility will be built in Silicon Valley, placing Lilly’s deep pharmaceutical research expertise right alongside AI innovation. The lab will leverage Nvidia’s BioNeMo platform, a suite of AI models designed to analyze molecular structures and speed the process of identifying promising drug candidates. The collaboration is designed as a two-way knowledge transfer: AI engineers from Nvidia will gain hands-on experience with real-world lab equipment, while Lilly’s scientists will work to fine-tune algorithms and AI systems to take over specific research tasks.
“AI is transforming every industry, and its most profound impact will be in life sciences,” Jensen Huang, founder and CEO of Nvidia, said in a statement, noting that his company and Lilly "are bringing together the best of our industries to invent a new blueprint for drug discovery — one where scientists can explore vast biological and chemical spaces in silico before a single molecule is made.”
(Excerpt) Read more at forbes.com ...
Trolling? Tells us the meds you are taking and their invention date. That’s not a “troll.”
Don’t patents generally expire, and new formulations rise?
All the time. And companies don’t wait for existing patents to expire before inventing new drugs. The industry always has a constant renewal process underway. They cannibalize their own product lines all the time.
I take Eliquis for pulmonary embolism that occurred in July 2024 (provoked by Round 3 of COVID). It is FAR superior to the old Coumadin blood thinner where you had to get your blood checked frequently and dosage adjusted. Eliquis does not require that.
The progress in blood pressure medications is amazing. There are many with different modes of action and they often work synergistically as a “cocktail” where you can take several at lower doses for improved response.
“ The possibilities are endless.” How many more innocent victims will be there when the AI replaces proper long term testing and evaluation by pharmacological companies, before they release their next golden goose drug, as was done with their Covid vaxx weapons of mass destruction.
From what I understand, it’s already happening. AI-designed drugs are actively in clinical trials.
Check out Insilico Medicine and Exscientia (now part of Recursion Pharmaceuticals).
Why would AI replace proper long-term testing and evaluation? Regulators won’t allow it.
As I understand it, AI is used upfront to identify new candidates and then run massive simulations on billions of molecular interactions, binding affinities, toxicity profiles, etc. to weed out failures early, saving millions (and years) that would otherwise be wasted in wet-lab or animal work.
Only the most promising survivors then proceed to the usual process of preclinical studies, followed by full human clinical trials.
You said “any”.
There are all kinds of medicines which predate AI.
Your blanket statement was overbroad to the point of trolling.
And no, I will neither confirm nor decline anything I’m taking, including aspirin.
Who says it’s going to replace long term testing, the idea as I see it is for AI to come up with different ways to treat particular diseases, that had previously not been developed.
I doubt AI will replace long term testing what it will do is develop new ways to treat various ailments that previously had not been thought of and cut the time to determine if a new treatment is worth pursuing.
It’s a distinction without a difference. Older methods of screening many candidate drug chemistries versus AI-enhanced screening at a far faster rate and more rapid market introduction. I just don’t get what bugs you about that. Did you also complain about steam-powered looms in England in your early years?
“The facility will be built in Silicon Valley,” it will take four years to clear the permits an another ten years to build. How stupid can they be?
It is not the rate of discovery but the temptation to fraudulently pass and sell drug candidates in order to preserve the business case for AI.
Which I already spelled out before your attempt to gaslight me into saying I had totally different UNSPOKEN motives.
Quit trolling.
I am sure you are correct.
My son told me about the mice.
I just ASSumed they were white.
I must be racist.
“they are all “newly discovered.”
Not necessarily. That Willow Tree bark powder had been used for quite awhile before Herr Bayer put it in pill form and called it Asprin.
They have all kinds of mice. The model you use depends on what you’re doing.
Thank you for explicitly stating the obvious to the troll.
I think the thread title suggests proprietary pharmaceuticals. Drug companies aren’t going to spend a billion dollars developing active ingredients that can’t be patented.
True. And many other remedies discovered over the millennia. I’m amazed at some of the discoveries. I started taking psyllium husk powder for gut health. Whoever would have thought of taking the husks from a seed and asking “I wonder what happens if we eat this sludge that forms after we mix the husks with water?”
Me, too. I think so much discovery of alcohol was serendipity when some old spent mash was left behind and fermented. Or they watched drunk birds and wondered “Why?”
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