Reading path
Healthcare IT: clinical AI, data, and regulation
AlphaFold, LLMs in clinical settings, EU AI Act for medical devices, and sensitive data management.
You are an IT manager in healthcare or a tech-savvy clinician who wants to understand where AI is changing diagnostics, proteomics and clinical data management — and which regulatory constraints apply today. This path connects AlphaFold's scientific breakthroughs with the evolution of general-purpose models in clinical contexts and the European regulatory framework that already classifies many medical AI systems as high-risk.
- 01
Why it matters to you
AlphaFold 2 solves the protein folding problem with unprecedented accuracy: the starting point for understanding how deep AI is reshaping translational biomedical research.
Landmark Foundation ModelsAlphaFold 2 wins CASP14 and solves protein folding
DeepMind announces that AlphaFold 2 has won the CASP14 competition with mean GDT >90, on par with experimental methods — widely regarded as solving the 50-year-old protein folding problem.
- 02
Why it matters to you
The peer-reviewed publication and release of the protein structure database makes AlphaFold an operational tool: the model for transferring breakthroughs from research to clinical and pharmaceutical practice.
High AI InfrastructureAlphaFold 2: open code and database, biology accelerates
DeepMind publishes AlphaFold 2 code and weights on GitHub and, with EMBL-EBI, releases a database with predicted structures for 350,000 human and model-organism proteins.
- 03
Why it matters to you
AlphaFold 3 extends prediction to DNA, RNA and small molecules: it directly expands utility for drug discovery and personalized medicine underpinning many hospital innovation projects.
Landmark Foundation ModelsAlphaFold 3: from protein structure to all of life's molecular interactions
DeepMind and Isomorphic Labs publish AlphaFold 3 in Nature: it predicts the structure and interactions of proteins, DNA, RNA, ligands, and ions — vastly extending the domain beyond AlphaFold 2.
- 04
Why it matters to you
AlphaGeometry shows that AI models reach olympiad-level formal reasoning: a relevant signal for clinical decision support systems based on structured inference.
High Foundation ModelsAlphaGeometry: DeepMind solves olympiad-level geometry
DeepMind publishes AlphaGeometry in Nature, a neuro-symbolic system that solves International Mathematical Olympiad geometry problems at medal level, without human-annotated training data.
- 05
Why it matters to you
The EU AI Act classifies AI systems for diagnosis, triage and clinical decision support as high-risk: it defines compliance, audit and technical documentation obligations for anyone procuring or deploying these systems in healthcare.
Landmark AI SecurityEU AI Act: European Parliament adopts the first comprehensive AI law
The European Parliament formally adopts the AI Act, the world's first comprehensive AI law, with a risk-based approach and specific obligations for foundation models.
- 06
Why it matters to you
GPT-4 passes the USMLE and demonstrates documented clinical capabilities: the paper that made it urgent for healthcare IT managers to establish policies on LLM use by medical staff.
Landmark Foundation ModelsGPT-4: the reasoning leap that resets the baseline
OpenAI releases GPT-4, multimodal (text + image), with reasoning, coding, and reliability clearly beyond GPT-3.5. Passes bar, medical, and coding exams.
- 07
Why it matters to you
The Nobel Prize in Chemistry for AlphaFold consecrates computational AI as permanent scientific infrastructure: an institutional argument for justifying investment in clinical AI platforms.
Landmark Foundation Models2024 Chemistry Nobel to Hassabis, Jumper, and Baker for computational protein folding
The Swedish Academy awards the 2024 Chemistry Nobel to David Baker (protein design) and to Demis Hassabis and John Jumper at DeepMind for AlphaFold — the first time an industry AI system co-stars in a scientific Nobel.