December 2025 in “Current Issues in Molecular Biology” New steroid compounds may help with hormonal therapy and have potential benefits for glucose disorders, but more research is needed.
Machine learning can accurately predict hair loss early, improving treatment options.
April 2025 in “Science Journal of University of Zakho” Inflammatory diets may increase the risk and severity of alopecia areata.
May 2024 in “EAS Journal of Pharmacy and Pharmacology” Pomegranate peel compounds may help treat hair loss.
March 2024 in “BMC cancer” High levels of ST14 and TMEFF1 proteins in ovarian cancer are linked to worse patient outcomes and may be a new treatment target.
12 citations
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March 2016 in “Experimental Dermatology” Hand preference and sexual orientation may predict finasteride side effects in male hair loss.
2 citations
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December 2021 in “Scientific reports” Scalp hair sweating is a significant predictor of hair cortisol levels.
October 2025 in “Journal of Clinical Medicine” Patients with certain baseline characteristics are more likely to benefit early from baricitinib for alopecia areata.
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.
November 2024 in “Journal of Investigative Dermatology” Polygenic Score can help predict severe psoriasis and psoriatic arthritis.
Higher sulfotransferase enzyme levels predict better response to minoxidil for hair growth.
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.
March 2023 in “The Journal of Urology” Higher SRD5A2 expression predicts better response to finasteride in treating urinary symptoms.
December 2022 in “The Aging Male” Lower 2D:4D ratio and older age increase the risk of severe hair loss in men.
October 2017 in “Indian heart journal” Early greying and male pattern baldness can predict heart disease in young Asian men.
44 citations
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May 2014 in “The American Surgeon” Low zinc and iron levels can predict hair loss after sleeve gastrectomy in women.
22 citations
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January 1992 in “PubMed” Higher CSF 5-HIAA levels may predict better response to serotonin re-uptake inhibitors in trichotillomania.
4 citations
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May 2022 in “BMC Women's Health” High levels of anti-Müllerian hormone can indicate polycystic ovarian syndrome in women who can have babies.
3 citations
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March 2024 in “iScience” Long-lived proteins may predict age-related diseases.
3 citations
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June 2017 in “The Journal of urology/The journal of urology” Older men with postoperative urinary retention are more likely to need future bladder procedures.
1 citations
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January 2015 in “Journal of Dermatology and Venereology” Early hair loss may predict heart disease.
March 2025 in “Acta Dermato Venereologica” Stigmatization and quality of life in people with alopecia are influenced by gender and sociodemographics, suggesting a need for better support.
January 2024 in “Authorea (Authorea)” STK11 gene polymorphism does not predict metformin response in PCOS.
April 2018 in “The Journal of urology/The journal of urology” A new score can help predict which patients might have trouble urinating after prostate surgery.
November 2017 in “DOAJ (DOAJ: Directory of Open Access Journals)” Certain medications and smaller pupil size increase the risk of intraoperative floppy iris syndrome during eye surgery.
April 2016 in “Journal of The American Academy of Dermatology” Both atopy and eosinophilia are linked to more severe hair loss in people with alopecia areata.
January 2020 in “Medpluse International Journal of Anatomy”
91 citations
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December 2017 in “Systems Biology in Reproductive Medicine” Lower SHBG levels may increase the risk of PCOS.
11 citations
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April 2019 in “Journal of Biological Research” The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
10 citations
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September 2022 in “Indian Journal of Clinical Biochemistry”