AI Medical Compendium Topic:
Genomics

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Optimization of Genomic Classifiers for Clinical Deployment: Evaluation of Bayesian Optimization to Select Predictive Models of Acute Infection and In-Hospital Mortality.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Acute infection, if not rapidly and accurately detected, can lead to sepsis, organ failure and even death. Current detection of acute infection as well as assessment of a patient's severity of illness are imperfect. Characterization of a patient's im...

Overcoming Interpretability in Deep Learning Cancer Classification.

Methods in molecular biology (Clifton, N.J.)
Since its inception, deep learning has revolutionized the field of machine learning and data-driven science. One such data-driven science to be transformed by deep learning is genomics. In the past decade, numerous genomics studies have adopted deep ...

Variable Selection for Time-to-Event Data.

Methods in molecular biology (Clifton, N.J.)
With the increasing availability of large scale biomedical and -omics data, researchers are offered with unprecedented opportunities to discover novel biomarkers for clinical outcomes. At the same time, they are also faced with great challenges to ac...

Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues.

Methods in molecular biology (Clifton, N.J.)
With rapid advances in experimental instruments and protocols, imaging and sequencing data are being generated at an unprecedented rate contributing significantly to the current and coming big biomedical data. Meanwhile, unprecedented advances in com...

Regulatory genes identification within functional genomics experiments for tissue classification into binary classes via machine learning techniques.

JPMA. The Journal of the Pakistan Medical Association
OBJECTIVE: The aim of this study is to filter out the most informative genes that mainly regulate the target tissue class, increase classification accuracy, reduce the curse of dimensionality, and discard redundant and irrelevant genes.

Deep learning of pharmacogenomics resources: moving towards precision oncology.

Briefings in bioinformatics
The recent accumulation of cancer genomic data provides an opportunity to understand how a tumor's genomic characteristics can affect its responses to drugs. This field, called pharmacogenomics, is a key area in the development of precision oncology....

An omics perspective on drug target discovery platforms.

Briefings in bioinformatics
The drug discovery process starts with identification of a disease-modifying target. This critical step traditionally begins with manual investigation of scientific literature and biomedical databases to gather evidence linking molecular target to di...

Precision medicine and artificial intelligence: overview and relevance to reproductive medicine.

Fertility and sterility
Traditionally, new treatments have been developed for the population at large. Recently, large-scale genomic sequencing analyses have revealed tremendous genetic diversity between individuals. In diseases driven by genetic events such as cancer, geno...

Clinical applications of artificial intelligence in urologic oncology.

Current opinion in urology
PURPOSE OF REVIEW: This review aims to shed light on recent applications of artificial intelligence in urologic oncology.