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 …
The crucial role of multiomic approach in cancer research and clinically relevant outcomes
M Lu, X Zhan - EPMA Journal, 2018 - Springer
Cancer with heavily economic and social burden is the hot point in the field of medical
research. Some remarkable achievements have been made; however, the exact …
research. Some remarkable achievements have been made; however, the exact …
Artificial intelligence to decode cancer mechanism: beyond patient stratification for precision oncology
The multitude of multi-omics data generated cost-effectively using advanced high-
throughput technologies has imposed challenging domain for research in Artificial …
throughput technologies has imposed challenging domain for research in Artificial …
Identification of potential driver mutations in glioblastoma using machine learning
Glioblastoma is a fast and aggressively growing tumor in the brain and spinal cord. Mutation
of amino acid residues in targets proteins, which are involved in glioblastoma, alters the …
of amino acid residues in targets proteins, which are involved in glioblastoma, alters the …
Bacoside A induces tumor cell death in human glioblastoma cell lines through catastrophic macropinocytosis
S John, KC Sivakumar, R Mishra - Frontiers in molecular …, 2017 - frontiersin.org
Glioblastoma multiforme (GBM) is a highly aggressive type of brain tumor with an extremely
poor prognosis. Recent evidences have shown that the “biomechanical imbalances” …
poor prognosis. Recent evidences have shown that the “biomechanical imbalances” …
Community-wide hackathons to identify central themes in single-cell multi-omics
Biological systems are fundamentally multi-scale, with mostly uncharacterized molecular
pathways, cellular actions, and cellular communities that collectively give rise to their …
pathways, cellular actions, and cellular communities that collectively give rise to their …
Potentially functional variants of HBEGF and ITPR3 in GnRH signaling pathway genes predict survival of non-small cell lung cancer patients
The gonadotropin-releasing hormone (GnRH) signaling pathway controls reproductive
functions and cancer growth and progression. However, few studies investigated roles of …
functions and cancer growth and progression. However, few studies investigated roles of …
Elevated THBS3 predicts poor overall survival for clear cell renal cell carcinoma and identifies LncRNA/RBP/THBS3 mRNA networks
G Wang, F Qu, J Zhou, B Zhu, Y Gao - Cell Cycle, 2023 - Taylor & Francis
This study was used to assess THBS3's overall survival (OS) prognostic values in clear cell
renal cell carcinoma (ccRCC) as well as to determine the LncRNA/RNA binding protein …
renal cell carcinoma (ccRCC) as well as to determine the LncRNA/RNA binding protein …
Quantitative proteomic analysis of GnRH agonist treated GBM cell line LN229 revealed regulatory proteins inhibiting cancer cell proliferation
Abstract Background Gonadotropin-releasing hormone (GnRH) receptor, a rhodopsin-like G-
protein coupled receptor (GPCR) family member involved in GnRH signaling, is reported to …
protein coupled receptor (GPCR) family member involved in GnRH signaling, is reported to …
Top trends in multiomics research: evaluation of 52 published studies and new ways of thinking terminology and visual displays
Ž Kolenc, N Pirih, P Gretic, T Kunej - OMICS: A Journal of Integrative …, 2021 - liebertpub.com
Multiomics study designs have significantly increased understanding of complex biological
systems. The multiomics literature is rapidly expanding and so is their heterogeneity …
systems. The multiomics literature is rapidly expanding and so is their heterogeneity …