158 citations
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January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
The system can automatically identify different hair and scalp conditions using machine learning.
11 citations
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September 2024 in “Journal of Advanced Research” 3D-bioprinting models of pancreatic cancer could help personalize treatments but need more testing.
December 2023 in “Modern engineering and innovative technologies” 13 citations
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November 2024 in “EClinicalMedicine” Standardized de-facing protocols can prevent identification from anonymized MRI images, enhancing privacy protection.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
5 citations
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September 2016 in “Security science and technology” DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.
2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
133 citations
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February 2017 in “PLoS Genetics” Genetic factors can help predict male pattern baldness risk.
1 citations
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June 2023 in “ScienceRise Pharmaceutical Science” A semi-automated system can effectively help choose emulsion ingredients, simplifying the creation of medicinal and cosmetic products.
4 citations
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July 2024 in “Radiotherapy and Oncology” A standardized scoring system is needed to improve model reliability for predicting hair loss in brain tumor patients treated with proton therapy.
February 2026 in “Dermatology and Therapy” AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
2 citations
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January 2010
Certain plasma proteins are linked to prostate cancer risk and could help in early detection and treatment.
November 2025 in “Analytical Chemistry” A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.
16 citations
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January 2023 in “Regenerative Biomaterials” The scaffold with polydopamine and bioactive glass effectively promotes bone regeneration.
November 2022 in “Journal of Investigative Dermatology” A new tool helps study hair follicle cells to develop better treatments for hair disorders.
10 citations
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September 2020 in “Journal of the American Geriatrics Society” Natural language processing is the most accurate method for identifying falls in older adults in emergency departments.
14 citations
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July 2021 in “Bioinformatics” rPanglaoDB helps study rare cell types by merging RNA data, showing fibrocytes aid in healing.
October 2024 in “Frontiers in Immunology” Pertussis toxin may contribute to hair loss in alopecia areata.
28 citations
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June 2023 in “Small” VVF alone can't fully describe porosity in granular scaffolds.
February 2025 in “Cermin Dunia Kedokteran” ADEM is a sudden brain disorder often following infection or vaccination, diagnosed by ruling out other conditions.
November 2021 in “Frontiers in Genetics” The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
November 2025 in “Agriculture” Machine learning can effectively identify genes to improve wool quality in sheep.
10 citations
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September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
2 citations
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July 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” Neural stem cells use local feedback to maintain balance in the adult brain.
1 citations
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July 2025 in “Cancer Medicine” Colorectal cancer cells can adapt without losing their traits or drug sensitivity.
2 citations
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June 2025 in “Biomolecules” Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.
12 citations
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February 2021 in “Translational Psychiatry” Researchers found two new genetic variants linked to Alzheimer's disease.
Collider bias can mislead our understanding of COVID-19 risk and severity.