Over the previous week I’ve proven you some thrilling ways in which synthetic intelligence is altering science.
Scientists have used it to uncover a organic system we didn’t know existed and design a drug that would possibly be capable of flip again our organic clock.
And yesterday, I confirmed you the way AI searched by 1.7 million potentialities to discover potential new weapons towards antibiotic-resistant micro organism.
These three unimaginable breakthroughs would possibly by no means have occurred with out AI.
However are they remoted examples, or are we witnessing the start of one thing rather more profound?
This week’s chart offers us a compelling reply.
AI Drug Discovery Is Exploding
This week’s chart was created utilizing information from Stanford College’s 2026 AI Index. It tracks the variety of scientific papers printed every year on the usage of AI for drug discovery.
And it helps you see why I’m so bullish on AI in biotech.
In 2018, researchers printed simply 431 papers on AI drug discovery. Final yr, they printed 3,311.
However the precise aspect of the chart is the place issues actually begin to speed up.
Since ChatGPT took the world by storm in late 2022, the variety of papers printed every year has almost tripled.
One thing is clearly taking place right here.
And I consider it’s as a result of AI is changing into rather more helpful for biology.
Researchers at the moment are constructing AI fashions that may predict the form of proteins, design fully new molecules and even simulate how cells would possibly reply to a drug.
On the identical time, the organic information accessible to coach these methods has additionally exploded.
Stanford stories that some coaching datasets that when contained lots of of hundreds of organic examples now comprise tens of hundreds of thousands. One new dataset incorporates measurements from greater than 100 million particular person cells, whereas one other incorporates greater than 9.8 billion genes gathered from genetic materials discovered within the surroundings.
That provides AI a a lot greater map of biology to discover.
And much more cash is now being poured into that exploration.
In keeping with McKinsey, funding in AI-enabled drug discovery greater than doubled from $4.1 billion in 2023 to $8.4 billion in 2025.
That’s some huge cash chasing the concept AI can assist us uncover higher medicine quicker. However it ought to repay in spades if these medicine truly work.
And thus far the indicators have been promising.
Traditionally, about 40% to 60% of medicine coming into Part I medical trials efficiently make it to the subsequent stage. However amongst medicine found with the assistance of AI, early research have discovered Part I success charges of 80% to 90%.
Now, I need to watch out with these numbers.
The pattern of AI medicine remains to be comparatively small. And making it by Part I doesn’t imply a drug will finally attain your drugs cupboard. Part I is primarily about establishing security and the way a drug behaves within the human physique.
However the outcomes haven’t been fairly as spectacular in Part II trials, when researchers start testing whether or not a drug truly works. There, AI-discovered medicine have carried out nearer to the historic common.
So it’s far too early to say that AI has solved drug discovery.
However AI-designed medicine at the moment are making their method into laboratories and human medical trials. And among the world’s largest pharmaceutical firms are betting that that is the place the way forward for drugs is headed.
Novo Nordisk (NYSE: NVO) is a good instance.
The corporate behind Ozempic and Wegovy has greater than 600 AI and digital specialists and over 30 strategic AI partnerships. And this yr alone, it has introduced main AI collaborations with OpenAI, Anthropic and Amazon aimed partially at accelerating drug discovery.
In the meantime, AI biotech Iambic Therapeutics simply filed to go public. Its most superior AI-developed most cancers drug is already in human trials, and the corporate has partnerships with among the world’s largest drugmakers.
In different phrases, the surge represented on this week’s chart isn’t taking place in isolation.
Right here’s My Take
I consider we’re solely beginning to see the place all of this might lead now that scientists have a brand new approach to discover biology.
The most important benefit AI brings to science is that it could actually search by hundreds of thousands of genes, proteins and molecules far quicker than any group of people ever might.
After all, most of these searches gained’t uncover a brand new organic system, a possible anti-aging drug or a brand new approach to combat antibiotic-resistant micro organism.
However some will.
And with hundreds of researchers now utilizing AI to discover locations we barely had time to look earlier than, I consider we’re going to begin seeing much more discoveries like those I shared with you this week.
Regards,
Ian King
Chief Strategist, Banyan Hill Publishing
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