Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
2 citations
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May 2021 in “Journal of pharmaceutical and biomedical analysis” A new method was developed to accurately detect and measure 47 different drug ingredients in various products.
July 2025 in “Indian Journal of Forensic Medicine & Toxicology” DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
Newly designed proteins can effectively degrade specific proteins in cells, offering a promising alternative for targeted protein degradation.
29 citations
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October 2017 in “Journal of proteomics” The research found specific proteins that affect fiber characteristics and hair growth in sheep and goats.
40 citations
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July 2023 in “Clinical Pharmacology & Therapeutics” Targeted protein degraders show promise in treating cancer but need to target more diverse proteins.
July 2025 in “Journal of Investigative Dermatology” Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
7 citations
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June 2015 in “EMBO Reports” Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
November 2025 in “Analytical Chemistry” A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.
June 2025 in “Rapid Communications in Mass Spectrometry” The new method improves protein extraction and analysis in hair, aiding biomedical and forensic work.
December 2022 in “IntechOpen eBooks” Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
34 citations
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March 2009 in “Journal of Investigative Dermatology” Proteomic analysis can identify genetic differences in mouse hair, helping understand hair defects and variations.
6 citations
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August 2016 in “Journal of Visualized Experiments” The CUBIC protocol allows detailed 3D visualization of proteins in mouse skin biopsies.
9 citations
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September 2022 in “Frontiers in Physics” The technique accurately identifies and evaluates hair follicle structures in skin.
November 2024 in “Communities in ADDI (University of the Basque Country)” Antisense oligonucleotides show promise for treating Myotonic Dystrophy type I.
Researchers developed a method to identify and measure different animal hair fibers in textiles, successfully distinguishing materials like cashmere from cheaper fibers.
4 citations
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December 2024 in “Protein & Cell” MultiKano accurately identifies cell types in complex data better than existing methods.
January 1999 in “American Journal of Medical Genetics Part A” The report expanded knowledge of MBTPS1-related disorders by identifying new symptoms.
10 citations
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January 1989 in “Archives of Dermatological Research” The method effectively analyzes human hair proteins, especially nonfilamentous ones.
32 citations
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August 2016 in “Science Signaling” Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
2 citations
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August 1987 in “Analytical Biochemistry” A new method isolated previously undetected hair proteins rich in glycine and tyrosine.
1 citations
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July 2023 in “Forensic science international. Genetics” Hair protein analysis might help identify a person's ethnicity, sex, and age in forensics.
May 2010 in “Europe PMC (PubMed Central)” Near-infrared probes can safely and effectively image cysteine protease activity for disease diagnosis.
December 2025 in “Rapid Communications in Mass Spectrometry” Pepsin digestion improves accuracy in analyzing proteins in human hair.
April 2017 in “Journal of Investigative Dermatology” Deep phenotyping helps distinguish between xeroderma pigmentosum and trichothiodystrophy, aiding in diagnosis and treatment.
July 2025 in “Journal of Investigative Dermatology” Three molecular subtypes of advanced skin T-cell lymphoma were identified, with potential biomarkers for predicting treatment response and disease progression.
14 citations
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January 2020 in “International Journal of Biological Sciences” Multiphoton microscopy can effectively assess breast cancer treatment responses without labels.
3 citations
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August 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
December 2023 in “Forensic science international. Genetics” The RapidHIT ID system can effectively get DNA profiles from hair roots with enough cells.