3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
January 2024 in “PloS one” Rat hair-follicle stem cells can become heart cells with specific supplements.
February 2024 in “International journal of medical science and clinical research studies” CCCA is a scarring hair disorder mainly affecting people of African descent, needing better awareness and treatment.
12 citations
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September 2012 in “Computer Graphics Forum” The method improves hair animation from video by combining image techniques and simulations.
11 citations
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April 2023 in “Frontiers in Pharmacology” Integrating biological networks improves drug repurposing and ADR prediction.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Targeting cholesterol, fatty acids, fibrosis, and mast cells may help treat CCCA.
8 citations
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February 2019 in “Scientific Reports” Immunofluorescence tomography is a cost-effective method for creating detailed 3-D images of tissues.
62 citations
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December 2008 in “Journal of structural biology” Hair curvature in Japanese people is linked to specific cell types and filament arrangements in the hair cortex.
36 citations
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February 1998 in “Journal of Anatomy” Fibre optic confocal imaging can visualize skin layers, blood vessels, and nerves in live mice.
19 citations
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April 2024 in “Nature Cell Biology” 21 citations
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December 2017 in “bioRxiv (Cold Spring Harbor Laboratory)” Fibroblast behavior is key for skin structure and healing.
January 2026 in “Zenodo (CERN European Organization for Nuclear Research)” January 2026 in “Zenodo (CERN European Organization for Nuclear Research)” 45 citations
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January 2022 in “Lab on a Chip” The platform effectively grows lung cancer cell spheroids for drug testing.
4 citations
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August 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The tool iCOUNT helps understand how stem cells divide and affect tissue development and repair.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
The model accurately identifies hair diseases using deep learning.
December 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” Actin filaments help stabilize and integrate cell membranes during transfer.
37 citations
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July 2016 in “Current Opinion in Cell Biology” Live imaging has advanced our understanding of stem cell behavior and raised new research questions.
5 citations
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May 2023 in “Frontiers in Immunology” Advanced imaging methods have improved understanding of cancer cell interactions and treatment strategies.
82 citations
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March 2016 in “Cell” The conclusion is that tissue structure is key for stem cell communication and maintaining healthy tissues.
1 citations
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August 2015 in “PubMed” Human hair's strength comes from a honeycomb-like structure and macrofibrils.
January 2019 in “Florida International University Digital Commons (Florida International University)” TOF-SIMS improved chemical mapping in cells, confirming gunshot residue, tracking anti-tumor drugs, and identifying molecules in mosquitoes and wounds.
1 citations
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June 2023 in “Journal of Visualized Experiments” A new 3D-printed microscope stage makes long-term imaging of live tissue easier and more accessible.
May 2026 in “Zenodo (CERN European Organization for Nuclear Research)” Hidradenitis suppurativa tunnels have different microenvironments, suggesting targeted treatments could be more effective.
May 2026 in “Zenodo (CERN European Organization for Nuclear Research)” Hidradenitis suppurativa tunnels have different microenvironments, suggesting targeted treatments could be more effective.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
2 citations
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December 2018 in “Novos Estudos Jurídicos” Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.