April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
17 citations
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July 2024 in “Frontiers in Oncology” New therapies and trials are needed for Merkel cell carcinoma, a tough skin cancer.
4 citations
,
December 2021 in “Electronics” The new method predicts post-hair transplant images more accurately than other methods.
2 citations
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June 1983 in “Proc., Annu. Meet., Air Pollut. Control Assoc.; (United States)” Ingesting minoxidil can cause severe health issues, requiring urgent medical treatment.
July 2026 in “International Journal of Advanced Research in Science Communication and Technology” BaldGraphFormer accurately predicts early baldness, aiding better hair loss treatment.
May 2026 in “International Journal of Drug Delivery Technology” Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
5 citations
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February 2024 in “Clinical Pharmacokinetics” A 50 mg daily dose of ritlecitinib is effective for alopecia areata, with temporary treatment breaks up to 6 weeks not affecting results.
January 2013 in “Stirling Online Research Repository (University of Stirling)” The Theory of Planned Behaviour predicts consumer behavior better when emotions, personality, demographics, and marketing are included.
1 citations
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April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Melanocyte-associated antigens may play a key role in alopecia areata and could be targets for new treatments.
3 citations
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March 2016 in “Medicinal Chemistry Research” Scientists found out the structure of a human enzyme linked to prostate cancer and hair loss, which could help in designing drugs.
The EMG-to-force model accurately predicts hip muscle forces during walking.
PROMETHEUS helps organize and evaluate causal claims from large language models.
September 2025 in “Matics Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)” Random Forest Regression is best for predicting baldness risk.
2 citations
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November 2024 in “International Journal of Pharmaceutics X” Desmopressin-loaded liposomes can effectively deliver drugs through the skin, improving bioavailability and patient compliance.
May 2017 in “Journal of The American Academy of Dermatology” Certain factors like patchy hair loss at the back of the head, being female, and younger age at diagnosis can lead to a worse outcome for alopecia areata.
June 2026 in “International Journal of Computational and Biological Sciences” A new tool using ultrasound and clinical data better predicts early diabetic kidney injury.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
2 citations
,
November 2024 Machine learning can accurately predict mental disorders.
February 2026 in “Frontiers in Pharmacology” Genetics can help tailor treatments for male pattern hair loss, improving outcomes like stabilization or modest regrowth.
1 citations
,
November 2023 in “Research Square (Research Square)” DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
Machine learning can improve early and accurate detection of PCOS.
1 citations
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October 2014 in “Molecular Biology of the Cell” Valentina Greco emphasizes the importance of combining business management with mentoring to run a successful academic lab.
12 citations
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September 2024 in “Frontiers in Immunology” Mitochondrial genes help predict breast cancer outcomes and spread.
January 2026 in “Human Mutation” T cell subsets are crucial in kidney cancer, and a new model predicts patient outcomes using key genes.
February 2026 in “Clinical Cosmetic and Investigational Dermatology” Female pattern hair loss is linked to genetics, family history, and lifestyle factors.
February 2026 in “SHILAP Revista de lepidopterología” Female Pattern Hair Loss is linked to genetics, diet, stress, and certain health conditions.
April 2019 in “Molecular Informatics” Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
18 citations
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May 2017 in “Fertility Research and Practice” Larger ovarian size is linked to higher insulin resistance in women with PCOS.
6 citations
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January 2018 in “Dermato-endocrinology” Darkened knuckles can be an early sign of insulin resistance.
3 citations
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January 2013 in “Egyptian Liver Journal” Many young Egyptian women with PCOS also have fatty liver disease, especially if they are overweight and insulin resistant.