1 citations
,
June 2022 in “Journal of Cosmetic Dermatology” Two specific genetic markers increase the risk of hair loss in Asian populations.
November 2023 in “Advances and Applications in Statistics” AI can effectively predict COVID-19 mortality risk using patient data.
July 2007 in “Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature” The BASP classification is a detailed system for categorizing hair loss in both men and women, but it may be complex for beginners and not fully suitable for grading female hair loss.
October 2023 in “Journal of the Endocrine Society” Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.
September 2022 in “Journal of Investigative Dermatology” Patient-reported outcomes better reflect the quality of life impact of alopecia areata than traditional severity scores.
32 citations
,
August 2016 in “Science Signaling” Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
April 2026 in “Academic Dermatology” Current methods for grading hair loss from cancer treatment are not accurate enough and need improvement.
April 2021 in “Journal of evolution of medical and dental sciences” Women with PCOS have higher levels of certain androgens, which are good at predicting excess hair growth.
December 2020 in “Research Square (Research Square)” The AndroCoV Clinical Scoring is a quick, affordable, and accurate method for diagnosing COVID-19.
1 citations
,
May 2011 in “DOAJ (DOAJ: Directory of Open Access Journals)” The study found genetic diversity in coat color dilution among Czech pointers in Slovakia.
March 2026 in “Mendeley Data” rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.
3 citations
,
April 2025 in “Journal of Clinical Epidemiology” Non-blinded assessors tend to overestimate effects in trials by about 29%.
30 citations
,
January 2019 in “Clinical Endocrinology” The study concluded that both anti-Mullerian hormone and LH/FSH ratio are higher in women with PCOS and combining these markers with BMI could improve diagnosis accuracy.
32 citations
,
April 2024 in “Nature Biotechnology”
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
9 citations
,
August 2013 in “PLOS ONE” Genetic variants at 20p11 increase baldness risk in Chinese Han people.
68 citations
,
August 2014 in “PeerJ” Human hair proteins vary by individual, body site, and ethnicity, useful for forensics.
Collider bias can mislead our understanding of COVID-19 risk and severity.
36 citations
,
November 2005 in “Forensic Science International” BioPlex-11 improves DNA profiling from telogen hair roots in forensic work.
April 2017 in “The Journal of urology/The journal of urology” Finasteride use is linked to a lower risk of bladder cancer, especially in Caucasians and Hispanics.
AI can improve alopecia areata diagnosis with high accuracy.
September 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” Male-pattern baldness has a weak link to heart disease and some related health conditions.
1 citations
,
September 2025 in “PLOS Digital Health” Large language models often give biased or inaccurate medical responses, especially for LGBTQIA+ prompts.
Certain plasma proteins are linked to prostate cancer risk and could help in early detection and treatment.
6 citations
,
March 2007 in “BioTechniques” PCR genotyping in cre-loxP mice can be inaccurate due to unintended gene deletions in non-target tissues.
1 citations
,
April 2018 in “Journal of Investigative Dermatology” People respond differently to hair loss treatment with PRP because of individual differences in growth factors from platelets.
April 2026 in “Therapeutic Advances in Drug Safety” Finasteride is high-risk for cognitive disorders, while Carbidopa/Levodopa, Topiramate, and Clonazepam are moderate-risk.
December 2023 in “Journal of the Korean Society of Cosmetology” People interested in aesthetics, personality, and social life care more about their appearance and beauty routines.
December 2020 in “Journal of The American Academy of Dermatology” Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
12 citations
,
March 2018 in “Analytical chemistry” Researchers created a new method to measure brain steroids, finding higher levels of certain steroids and changes due to a drug.