AIMC Topic: Cell Proliferation
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Artificial intelligence deep learning model assessment of leukocyte counts and proliferation in endometrium from women with and without polycystic ovary syndrome.
F&S science
Jan 22, 2022
OBJECTIVE: To study whether artificial intelligence (AI) technology can be used to discern quantitative differences in endometrial immune cells between cycle phases and between samples from women with polycystic ovary syndrome (PCOS) and non-PCOS con...
Quantitative Assessment of Epithelial Proliferation in Rat Mammary Gland Using Artificial Intelligence Independent of Choice of Proliferation Marker.
The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society
Jan 20, 2022
Epithelial proliferation in the rat mammary gland is recommended in regulatory guidelines as an endpoint for assessment of the in vivo carcinogenic potential of insulin analogues. Epithelial proliferation is traditionally assessed by immunohistochemi...
A deep learning classification of metacarpophalangeal joints synovial proliferation in rheumatoid arthritis by ultrasound images.
Journal of clinical ultrasound : JCU
Jan 17, 2022
OBJECTIVE: To evaluate if an automatic classification of rheumatoid arthritis (RA) metacarpophalangeal joint conditions in ultrasound images is feasible by deep learning (DL) method, to provide a more objective, automated, and fast way of RA diagnosi...
Artificial intelligence-based identification of octenidine as a Bcl-xL inhibitor.
Biochemical and biophysical research communications
Dec 20, 2021
Apoptosis plays an essential role in maintaining cellular homeostasis and preventing cancer progression. Bcl-xL, an anti-apoptotic protein, is an important modulator of the mitochondrial apoptosis pathway and is a promising target for anticancer ther...
MFmap: A semi-supervised generative model matching cell lines to tumours and cancer subtypes.
PloS one
Dec 16, 2021
Translating in vitro results from experiments with cancer cell lines to clinical applications requires the selection of appropriate cell line models. Here we present MFmap (model fidelity map), a machine learning model to simultaneously predict the c...
A computer-aided drug design approach to discover tumour suppressor p53 protein activators for colorectal cancer therapy.
Bioorganic & medicinal chemistry
Nov 27, 2021
Colorectal cancer (CRC) is the third most detected cancer and the second foremost cause of cancer deaths in the world. Intervention targeting p53 provides potential therapeutic strategies, but thus far no p53-based therapy has been successfully trans...
Tumor Suppressor Protein p53
Dihydroergotoxine
Cell Survival
Drug Screening Assays, Antitumor
Structure-Activity Relationship
Colorectal Neoplasms
Molecular Structure
Molecular Docking Simulation
Antineoplastic Agents
Drug Discovery
Cell Line, Tumor
Humans
Cell Proliferation
Machine Learning
Dose-Response Relationship, Drug
Exploring the Underlying Mechanism of Shenyankangfu Tablet in the Treatment of Glomerulonephritis Through Network Pharmacology, Machine Learning, Molecular Docking, and Experimental Validation.
Drug design, development and therapy
Nov 9, 2021
PURPOSE: This study aimed to explore the underlying mechanisms of Shenyankangfu tablet (SYKFT) in the treatment of glomerulonephritis (GN) based on network pharmacology, machine learning, molecular docking, and experimental validation.
MISpheroID: a knowledgebase and transparency tool for minimum information in spheroid identity.
Nature methods
Nov 1, 2021
Spheroids are three-dimensional cellular models with widespread basic and translational application across academia and industry. However, methodological transparency and guidelines for spheroid research have not yet been established. The MISpheroID ...
Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.
PLoS computational biology
Jul 23, 2021
Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (MET), are believed to play key roles in facilitating the metastatic cascade. Metastatic lesions often exhibit a similar epithelial-like state to that ...
Extracellular Matrix
Biophysical Phenomena
Cell Adhesion
Cell Shape
Adaptation, Physiological
Cadherins
Models, Biological
Vimentin
Neoplasm Metastasis
Cell Proliferation
Antigens, CD
Cell Count
Epithelial-Mesenchymal Transition
Tumor Microenvironment
Humans
Biomarkers, Tumor
Machine Learning
Female
Cell Line, Tumor
Computational Biology
Triple Negative Breast Neoplasms
Synthesis, docking, machine learning and antiproliferative activity of the 6-ferrocene/heterocycle-2-aminopyrimidine and 5-ferrocene-1H-Pyrazole derivatives obtained by microwave-assisted Atwal reaction as potential anticancer agents.
Bioorganic & medicinal chemistry letters
Jul 2, 2021
A simple and fast methodology under microwave irradiation for the synthesis of 2-aminopyrimidine and pyrazole derivatives using Atwal reaction is reported. After the optimization of the reaction conditions, eight 2-aminolpyrimidines containing ferroc...
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