147 citations
,
September 2001 in “Computer graphics forum” The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.
110 citations
,
August 2011 in “Journal of Visualized Experiments” 3D skin models better mimic human skin and melanoma progression than older methods.
8 citations
,
December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
August 2024 in “Clinical and Experimental Dermatology” DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
1 citations
,
September 2017 C-scores can help predict gain-of-function and loss-of-function mutations.
20 citations
,
May 2011 in “Journal of Clinical Investigation” The study created a mouse model to mimic degenerative diseases for testing tissue repair and new therapies.
11 citations
,
January 2022 in “Methods in cell biology”
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
1 citations
,
August 2022 in “Pigment Cell & Melanoma Research” New mouse models help study melanocytic cells for melanoma research.
December 2018 in “Neuroradiology” MRI helps distinguish between pituitary adenomas and craniopharyngiomas, guides treatment for pediatric CNS tumors, and assesses rhinocerebral mucormycosis with a high mortality rate in transplanted patients.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
13 citations
,
February 2025 in “Nature Communications” A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
1 citations
,
December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.
January 2002 in “Europe PMC (PubMed Central)” The model successfully simulates human hair growth and patterns, including hair loss types.
16 citations
,
July 2020 in “Advanced functional materials” 3D cell-derived matrices improve tissue regeneration and disease modeling.
2 citations
,
September 2025 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” AI can accurately diagnose and assess alopecia areata using scalp images.
2 citations
,
January 1992 in “Neurologia medico-chirurgica” The new therapy effectively targets brain tumors while minimizing damage to healthy tissue.
13 citations
,
September 2021 in “Communications Biology” Co5M offers a new way to observe and understand wound healing without labels.
January 2018 in “Computational Toxicology” Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
5 citations
,
June 2022 in “Biophysical Journal” TGF-β and TNF influence hair follicle cell fate, with TNF being more effective in triggering cell death.
1 citations
,
August 2013 in “Journal of Clinical Epidemiology” The "exposure–crossover design" helps assess individual changes in risk after events like car crashes.
36 citations
,
July 2004 in “Apmis” Fluorescent proteins in mouse models effectively visualize tumor blood vessel growth.
5 citations
,
January 2009 in “Elsevier eBooks” Bayesian networks are tools for modeling variables' probabilistic relationships, which can efficiently represent complex probabilities and help in making inferences.
1 citations
,
October 2025 in “Endocrinology and Metabolism” Clinicians can use vibe coding to easily engage in machine learning research without needing to know Python.
March 2017 in “Fundamental & Clinical Pharmacology” The model and estimator can predict drug exposure in kidney transplant patients well.
Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.
July 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” The study developed a 3D model that closely imitates remaining ovarian cancer after treatment and identified a potential drug targeting resistant cancer cells.
5 citations
,
February 2019 in “bioRxiv (Cold Spring Harbor Laboratory)” 3D cell cultures produce extracellular vesicles similar to those in the body.
December 2022 in “Research Square (Research Square)” The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
December 2023 in “The journal of cell biology/The Journal of cell biology” The mTurq2-Col4a1 mouse model shows how the basement membrane develops in live mammals.