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Evolution of the field

Follow biological AI through time.

Move from early physics and deep-learning platforms to protein and genomic representations, structure prediction, generative biology, RNA, virtual cells, tissue models and integrated discovery systems.

86records17years represented
Virtual Cells & Single-Cell

AIDO Cell 1.0

GenBio AI

Developer-reported Virtual Cell Benchmark 1.0 spans 31 metrics across five task families; independent reproduction remains pending.

Tissue, Pathology & Imaging

GenBio-PathFM

GenBio AI

Reported evaluations include THUNDER, HEST and PathoROB; cross-paper comparability remains task-specific.

Genomics, DNA & RNA

Borzoi

Calico / academic collaborators

Connects DNA sequence to tissue-specific RNA readouts.

Spatial & Tissue Systems

Novae

Spatial-omics research community

Adds graph-native spatial representation to BioAtlas.

Antibodies & Biologics

RFantibody

Institute for Protein Design, UW

Experimentally evaluated de novo antibody designs have been reported.

RNA Models & Design

RiNALMo

University of Zagreb / A*STAR collaborators

Evaluated on RNA structure and downstream tasks.

Virtual Cells & Single-Cell

Tahoe-x1

Tahoe Therapeutics

The authors report state-of-the-art performance across four disease-relevant evaluation groups; independent reproduction should be tracked separately.

Tissue, Pathology & Imaging

CONCH

Mahmood Lab

Adds image-language representation to the pathology layer.

Protein & Binder Design

ESM3

EvolutionaryScale (now CZ Biohub)

Generated the novel esmGFP fluorescent protein.

Tissue, Pathology & Imaging

H-Optimus

Bioptimus

Bioptimus reports training across more than one million slides for current H-Optimus releases.

Protein Foundation & Representation

SaProt

Westlake / Zhejiang collaborators

Combines sequence and structural alphabets in the input representation.

Tissue, Pathology & Imaging

TITAN

Mahmood Lab / collaborators

Pretrained on hundreds of thousands of whole-slide images in the published technical report.

Tissue, Pathology & Imaging

UNI / UNI2

Mahmood Lab / Brigham and Women’s Hospital

Represents tissue morphology as reusable image embeddings.

RNA Models & Design

UNI-RNA

Academic RNA foundation-model collaborators

Reviewed as a major RNA foundation-model family in 2026 surveys.

Protein Foundation & Representation

Ankh

Proteinea / academic collaborators

Included in modern protein-LM comparisons.

Virtual Cells & Single-Cell

scGPT

University of Toronto (Bo Wang Lab)

Pretrained on 33M+ human cells.

Protein Foundation & Representation

ESM-2

Meta AI (FAIR)

Provides the language-model representation used by ESMFold.

RNA Models & Design

RNA-FM

ML4Bio / academic collaborators

The project reports pretraining on more than 23 million non-coding RNA sequences.

Small-Molecule & Chemistry

GEMS

Genesis Therapeutics

Founded from Stanford ML + chemistry research.

AI-Native Discovery Cos.

insitro

insitro

Founder Daphne Koller is a Stanford ML pioneer and Coursera co-founder.

The year reflects the introduction year recorded in BioAtlas. Milestones are curated summaries and should be checked against the linked primary source.