Session Introduction: Precision Medicine: Using Artificial Intelligence to Improve Diagnostics and Healthcare.

Precision medicine requires a deep understanding of complex biomedical and healthcare data, which is being generated at exponential rates and increasingly made available through public biobanks, electronic medical record systems and biomedical databases and knowledgebases. The complexity and sheer amount of data prohibit manual manipulation. Instead, the field depends on artificial intelligence approaches to parse, annotate, evaluate and interpret the data to enable applications to patient healthcare At the 2023 Pacific Symposium on Biocomputing (PSB) session entitled "Precision Medicine: Using Artificial Intelligence (AI) to improve diagnostics and healthcare", we spotlight research that develops and applies computational methodologies to solve biomedical problems.

[1]  L. Court,et al.  Predictive modeling using shape statistics for interpretable and robust quality assurance of automated contours in radiation treatment planning. , 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[2]  Douglas K. Brubaker,et al.  TRANS-OMIC KNOWLEDGE TRANSFER MODELING INFERS GUT MICROBIOME BIOMARKERS OF ANTI-TNF RESISTANCE IN ULCERATIVE COLITIS. , 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[3]  P. Radivojac,et al.  An Approach to Identifying and Quantifying Bias in Biomedical Data , 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[4]  L. Iakoucheva,et al.  Multi-objective prioritization of genes for high-throughput functional assays towards improved clinical variant classification. , 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[5]  Heewook Lee,et al.  PiTE: TCR-epitope Binding Affinity Prediction Pipeline using Transformer-based Sequence Encoder. , 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[6]  K. Kersting,et al.  Exploiting Domain Knowledge as Causal Independencies in Modeling Gestational Diabetes , 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[7]  Mohammad Yaqub,et al.  Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data , 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[8]  Saurav K. Aryal,et al.  Acoustic-Linguistic Features for Modeling Neurological Task Score in Alzheimer's , 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[9]  Adrianne L. Stefanski,et al.  Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome , 2022, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[10]  M. Ester,et al.  Multi-treatment Effect Estimation from Biomedical Data. , 2021, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

[11]  Andrew D. Yates,et al.  Development and application of a computable genotype model in the GA4GH Variation Representation Specification , 2022, bioRxiv.

[12]  J. Mpofu,et al.  Addressing Racial Disparities in Pregnancy-Related Deaths: An Analysis of Maternal Mortality-Related Federal Legislation, 2017-2021. , 2022, Journal of women's health.

[13]  P. Rajpurkar,et al.  Multimodal biomedical AI , 2022, Nature Medicine.

[14]  V. Baladandayuthapani,et al.  BaySyn: Bayesian Evidence Synthesis for Multi-system Multiomic Integration , 2022, medRxiv.

[15]  Elizabeth J Heavey.  Rising US pregnancy-related deaths. , 2022, Nursing.

[16]  Lon Phan,et al.  SPDI: Data Model for Variants and Applications at NCBI , 2019, bioRxiv.

[17]  Neil A. Miller,et al.  The Evolution of PharmVar , 2018, Clinical pharmacology and therapeutics.

[18]  Aleksandar Milosavljevic,et al.  ClinGen Allele Registry links information about genetic variants , 2018, Human mutation.

[19]  Raymond Dalgleish,et al.  HGVS Recommendations for the Description of Sequence Variants: 2016 Update , 2016, Human mutation.

[20]  Bale,et al.  Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology , 2015, Genetics in Medicine.