Research

Comparative epidemiology of intraoperative hypotension and hypoxemia across three large retrospective cohorts.

Genetically supported drug target prioritization for rare diseases.

Large-scale evaluation of five large language models in anesthesia decision-making for hip fracture surgery.

Genomics of drug target prioritization for complex diseases.

Genetic evidence informs the direction of therapeutic modulation in drug development.

Genetic analyses of eight complex diseases using predicted continuous representations of disease.

AHA PREVENT equations and cardiovascular disease risk in diverse healthcare populations.

Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease.

Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score.

Comparison of blood-based liver fibrosis scores in the Mount Sinai Health System, MASLD Registry, and NHANES 2017-2020 study.

Prediction of venous thromboembolism in diverse populations using machine learning and structured electronic health records.

Characterization of a possible founder synonymous variant in TECTA in multiple individuals with autosomal recessive hearing loss.

Digital haemophilia: insights into the use of social media for haemophilia care, research, and advocacy.

Capturing multi-disease states on a spectrum with machine learning and routine clinical data.

Development of a genetic priority score to predict drug side effects using human genetic evidence.

16q24.3 microdeletions disrupting upstream non-coding region of ANKRD11 cause KBG syndrome.

Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease.

Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications.

Comprehensive gene panel testing for hearing loss in children: understanding factors impacting diagnostic yield.

(Oral) Large-scale evaluation of five large language models in anesthesia decision-making for hip fracture surgery.

(Poster) Expanding the landscape of drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score.

(Oral) Prediction of venous thromboembolism in diverse populations using machine learning and structured electronic health records.

(Poster) Ontogeny of the alloimmune anti-canine factor VIII inhibitor response in severe hemophilia A dogs.

(Oral) Purifying the needle in the haystack: a novel immunoproteomic pipeline for the characterization of anti-FVIII antibodies in hemophilia A inhibitor patients.