Results 181 to 190 of about 29,999,610 (319)
Comparative estimation of the spread of acute diarrhea and dengue in India using statistical mathematical and deep learning models. [PDF]
Singh A+5 more
europepmc +1 more source
Statistical Models of Ferrimagnetism [PDF]
Itiro Syozi, Huzio Nakano
openaire +2 more sources
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern+7 more
wiley +1 more source
Machine learning approach to predict the viscosity of perfluoropolyether oils. [PDF]
Sheikhshoaei AH, Zabihi R.
europepmc +1 more source
A bioinformatics screen identifies TCF19 as an aggressiveness‐sustaining gene in prostate cancer
Gene expression meta‐analysis in multiple prostate cancer patient cohorts identifies Transcription factor 19 (TCF19) as an aggressiveness‐sustaining gene with prognostic potential. TCF19 is a gene repressed by androgen signaling that sustains core cancer‐related processes such as vascular permeability or tumor growth and metastasis.
Amaia Ercilla+15 more
wiley +1 more source
MoEPH: an adaptive fusion-based LLM for predicting phage-host interactions in health informatics. [PDF]
Chen Q+5 more
europepmc +1 more source
Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici+8 more
wiley +1 more source
Early Life Exposure To Multiple Metals, Nutrition, and Growth in Children - A Scoping Review. [PDF]
Desai G+4 more
europepmc +1 more source
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert+13 more
wiley +1 more source