Isomorphic Labs raises a $2.1 billion Series B
On 12 May 2026 Isomorphic Labs announced a $2.1 billion Series B round led by Thrive Capital, money the company says will scale its business globally and push its drug candidate pipeline forward.
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On 12 May 2026 Isomorphic Labs announced a $2.1 billion Series B round led by Thrive Capital, money the company says will scale its business globally and push its drug candidate pipeline forward.
On 13 January 2026 Baichuan released Baichuan-M3, a new-generation open-source medical-enhanced LLM, at a media briefing.
Insilico Medicine listed on the Hong Kong Stock Exchange on 30 December 2025 under code 3696.HK, raising HKD 2.277 billion in what it called the largest Hong Kong biotech IPO of 2025 by funds raised.
On 6 November 2025 Mark Zuckerberg and Priscilla Chan announced a Biohub initiative pairing frontier AI with frontier biology; the EvolutionaryScale team joined it, and its chief scientist Alex Rives became Biohub's head of science.
On 6 November 2025 Mustafa Suleyman announced the MAI Superintelligence Team inside Microsoft AI. Its stated goal is "humanist superintelligence": problem-oriented AI with limits on autonomy that keeps humans in control.
In August 2025 Baichuan open-sourced Baichuan-M2-32B, its second medical-enhanced model, which it called the world's strongest open-source medical model.
In June 2025 Nature Medicine published a phase 2a trial of rentosertib, a TNIK inhibitor for idiopathic pulmonary fibrosis that was discovered by an AI platform, together with early signs of a lung-function effect.
In March 2025 Baichuan disbanded its financial-industry enterprise team and restructured to focus on AI for healthcare, later releasing the open medical models Baichuan-M2-32B and Baichuan-M3.
On 24 January 2025 Baichuan released Baichuan-M1-preview and open-sourced Baichuan-M1-14B, a smaller model it described as the first open-source LLM trained from scratch for medicine.
Recursion completed its combination with Exscientia on 20 November 2024, making the AI drug discovery company a wholly-owned subsidiary and folding its pipeline, sites and leadership into a single organisation.
The 2024 Nobel Prize in Chemistry went to David Baker for computational protein design and, jointly, to Demis Hassabis and John Jumper of Google DeepMind for AI-based protein structure prediction. The Academy said their work solved a 50-year-old problem.
On 25 June 2024 EvolutionaryScale published ESM3, a protein language model trained at large scale, with a paper on the esmGFP generation experiment and an open checkpoint built on 2.78 billion natural protein sequences.
On 8 May 2024, Google DeepMind and Isomorphic Labs announced AlphaFold 3, a model that predicts the structures and interactions of proteins, DNA, RNA and ligands, and that Google reported as the first AI system to outperform physics-based tools for biomolecular structure prediction.
On 29 January 2024 Baichuan released Baichuan 3, a closed model with more than one hundred billion parameters, and reported its own benchmark results against GPT-4.
On 28 July 2022, DeepMind and EMBL-EBI expanded the AlphaFold Protein Structure Database from nearly 1 million to over 200 million predicted protein structures, covering nearly all catalogued proteins known to science.
On 15 July 2021 the Institute for Protein Design released RoseTTAFold as code on GitHub and a public web server, with lead author Minkyung Baek describing structures computable in minutes on a gaming computer.
In July 2021 the journal Nature published the AlphaFold2 paper from DeepMind. The AI system predicts a protein's three-dimensional shape from its amino-acid sequence, and DeepMind then released its code and a free structure database.
On 30 November 2020 DeepMind announced that the organisers of CASP14 had recognised its AlphaFold system as a solution to the 50-year-old protein-folding problem, with accuracy approaching that of experimental methods.
On 14 January 2020, Keya Medical's Shenmai FFR software became the first AI medical device to receive a class III certificate in China, opening a registration path for diagnostic software and later reaching billable clinical use.
In December 2018 DeepMind's AlphaFold placed first overall at CASP13, a blind protein-structure prediction assessment, giving the best prediction for 25 of the 43 hardest targets.
A Kaggle competition run in August–October 2012 in which competitors predicted molecules' biological activities from numerical descriptors of their chemical structures; a deep-learning team led by Geoffrey Hinton took first place.