Artificial intelligence and machine learning in precision and genomic medicine
S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …
symptom-driven treatment process by allowing early risk prediction of disease through …
Applications of machine learning in drug discovery and development
Drug discovery and development pipelines are long, complex and depend on numerous
factors. Machine learning (ML) approaches provide a set of tools that can improve discovery …
factors. Machine learning (ML) approaches provide a set of tools that can improve discovery …
Development of a clinical polygenic risk score assay and reporting workflow
Implementation of polygenic risk scores (PRS) may improve disease prevention and
management but poses several challenges: the construction of clinically valid assays …
management but poses several challenges: the construction of clinically valid assays …
Data-driven strategies for accelerated materials design
Conspectus The ongoing revolution of the natural sciences by the advent of machine
learning and artificial intelligence sparked significant interest in the material science …
learning and artificial intelligence sparked significant interest in the material science …
Toxicity testing in the 21st century: progress in the past decade and future perspectives
Advances in the biological sciences have led to an ongoing paradigm shift in toxicity testing
based on expanded application of high-throughput in vitro screening and in silico methods …
based on expanded application of high-throughput in vitro screening and in silico methods …
Virtual microdissection identifies distinct tumor-and stroma-specific subtypes of pancreatic ductal adenocarcinoma
Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival
rate of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes …
rate of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes …
Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis
Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in
multicentre settings is an important criterion for clinical translation. We therefore performed a …
multicentre settings is an important criterion for clinical translation. We therefore performed a …
[HTML][HTML] CD8 T cell score as a prognostic biomarker for triple negative breast cancer
CD8 T cell is an essential component of tumor-infiltrating lymphocytes (TIL) and tumor
immune microenvironment (TIME). Using the xCell CD8 T cell score of whole tumor gene …
immune microenvironment (TIME). Using the xCell CD8 T cell score of whole tumor gene …
Blood molecular markers associated with COVID‐19 immunopathology and multi‐organ damage
YM Chen, Y Zheng, Y Yu, Y Wang, Q Huang… - The EMBO …, 2020 - embopress.org
COVID‐19 is characterized by dysregulated immune responses, metabolic dysfunction and
adverse effects on the function of multiple organs. To understand host responses to COVID …
adverse effects on the function of multiple organs. To understand host responses to COVID …
Clinical drug response can be predicted using baseline gene expression levels and in vitrodrug sensitivity in cell lines
We demonstrate a method for the prediction of chemotherapeutic response in patients using
only before-treatment baseline tumor gene expression data. First, we fitted models for whole …
only before-treatment baseline tumor gene expression data. First, we fitted models for whole …