Multimodal models capable of imputing diverse data used in single-cell biology studies provide potential foundational opportunities in clinical practice. However, patient data uniquely comprise longitudinal mosaic measurements that reflect underlying physiological dynamics and exhibit temporal covariation, demanding a...
Wei Wu, Gen Li, Kai Wang et al.· Nature Computational Science· 2 citations
Large language models (LLMs) are increasingly relied upon to support ambient documentation and clinical reasoning. Here we examine the impact of a failure mode shared between these two applications by assessing their sensitivity to information incidental to the patient encounter. In 576 patient-clinician dialogues, we...
K. Vishwanath, Brandon Ye, A. Alyakin et al.· 0 citations
Large language model (LLM) assistants are being deployed to clinicians across health systems, and judgments about their readiness rest largely on benchmark scores, most of them derived from examination questions or curated cases. A benchmark predicts performance in deployment only to the extent that its items resemble...
K. Vishwanath, Hai-Tong Lin, A. Alyakin et al.· 0 citations
Large language models (LLMs) are increasingly relied upon to support ambient documentation and clinical reasoning. Here we examine the impact of a failure mode shared between these two applications by assessing their sensitivity to information incidental to the patient encounter. In 576 patient-clinician dialogues, we...
K. Vishwanath, Brandon Ye, A. Alyakin et al.· 0 citations
An algorithm is designed that learns to separate representations of content and style from language models' outputs and validate its effectiveness on math questions in a controlled setting, finding that style affects correctness: the probability of solving a problem depends on the style the authors condition on, and di...
Ioana Marinescu, E. Oermann, Kyunghyun Cho· 0 citations
The range of peptides a human leukocyte antigen (HLA) binds and displays modulates immune response and therefore underpins vaccine design, neoantigen discovery, autoimmunity, transplantation, and hypersensitivity reactions. Modern predictors of peptide–HLA (pMHC) binding and presentation are remarkably accurate, but th...
Sully F. Chen, Robert J. Steele, E. Oermann· bioRxiv· 0 citations
Oncoformer provides a framework for risk-informed cancer prediction and treatment stratification using routine clinical data and was independently validated against postoperative pathological endpoints and shown to converge on core cancer genomic pathways.
Fei Liu, Kai Wang, Hui Xu et al.· Cell· 2 citations
A benchmark radiomics model to preoperatively identify the histological grade of spinal meningiomas is constructed, suggesting a need to characterize the interplay between tumor grade and extent of resection as drivers of local disease control in SMs.
Adhith Palla, N. Goff, Blake Perdikis et al.· Neurosurgical Focus· 0 citations
An overview of the landscape of major U.S. neuro-oncology data resources is provided and how these datasets are used in contemporary research is evaluated, including population registries, clinical data networks, federal and consortium research cohorts, institutional datasets, specialized resources, and artificial inte...
Anjali Kapoor, A. Alyakin, J. Markert et al.· Journal of Neuro-Oncology· 0 citations
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