Publications by authors named "Talip Yasir Demirtas"
Article Synopsis
- - Ovarian cancer significantly contributes to cancer-related deaths in women, making early diagnosis and personalized medicine crucial to improving outcomes through new drug discovery methods.
- - The study utilized an integrated systems biology and machine learning approach to analyze multiple transcriptome datasets, identifying a significant gene module called "SOV-module" that consists of 19 genes associated with serous ovarian cancer.
- - The SOV-module showed impressive diagnostic accuracy of 96.7% sensitivity and 100% specificity, and 63% accuracy in prognostic predictions, underscoring its potential as a genomic biomarker for personalized treatment strategies in ovarian cancer.
Article Synopsis
- - Rheumatoid arthritis (RA) is an autoimmune disease where the immune system mistakenly attacks body tissues, leading to insufficient treatment options currently available.
- - This study analyzed various patient-derived data (like synovial fluids and blood samples) using bioinformatics to identify potential drug candidates that could be repurposed for RA treatment.
- - A total of 19 drug candidates, including FDA-approved options like momelotinib and ibrutinib, were identified for further study, which could lead to new treatments for RA.
Gastric cancer (GC) is a prevalent disease worldwide with high mortality and poor treatment success. Early diagnosis of GC and forecasting of its prognosis with the use of biomarkers are directly relevant to achieve both personalized/precision medicine and innovation in cancer therapeutics. Gene expression signatures offer one of the promising avenues of research in this regard, as well as guiding drug repurposing analyses in cancers.
View Article and Find Full Text PDFEscherichia coli is an important cause of bacterial infections worldwide, with multidrug-resistant strains incurring substantial costs on human lives. Besides therapeutic concentrations of antimicrobials in health care settings, the presence of subinhibitory antimicrobial residues in the environment and in clinics selects for antimicrobial resistance (AMR), but the underlying genetic repertoire is less well understood. Here, we used machine learning to predict the population doubling time and cell growth yield of 1,407 genetically diverse E.
View Article and Find Full Text PDFSchizophrenia (SCZ) is a psychiatric disorder characterized by both positive symptoms (i.e., psychosis) and negative symptoms (such as apathy, anhedonia, and poverty of speech).
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