insitro, inc. at ASHG 2026
Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website
insitro, inc. brings 5 presentations to ASHG 2026 in Montréal. Its program at this meeting centres on computational genetics, multimodal phenotyping, and therapeutic discovery. Its presentations cover AI-enabled retinal and MRI phenotyping for genetic discovery and an optical screen for TDP-43-related splicing in human motor neurons.
| Organization | ASHG 2026 Attendance |
|---|---|
insitro, inc. South San Francisco, California | 2 Staff Data Scientist · 1 Statistical Geneticist · 1 Scientist I · 1 Scientist |
insitro develops therapeutics and AI discovery platforms using causal human biology, machine learning, and multimodal human and cellular data. Its focus includes metabolic disease, neuroscience, and oncology.
| Poster Wed Oct 21 2:30 pm Multimodal imputation of regional adiposity reveals shared genetic architecture across fat depots and anthropometric traits Genome-wide association studyObesityMetabolic disorder Poster Thu Oct 22 4:15 pm Genetics-guided phenotype imputation increases GWAS power without increasing sample size: age-related macular degeneration as a case study Genome-wide association studyLarge-scale biobanksElectronic health recordsMethodology Poster Thu Oct 22 4:15 pm ML-based MRI phenotyping of supraclavicular fat enables genetic discovery of human brown adipose tissue Deep learningGenome-wide association studyStatistical geneticsPhenotype Poster Thu Oct 22 4:15 pm Druggable genome-scale optical pooled screen paired with single cell-transcriptomics reveal modulators of TDP-43-dependent cryptic exon splicing in human motor neurons Alternative splicingMachine learningMulti-omicsNeurodegeneration Poster Fri Oct 23 2:30 pm ★ Reviewers’ Choice Retinal Imaging AI augments association power for GWAS of age-related macular degenerationArtificial intelligenceComplex diseasesGenome-wide association studyMachine learning |
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