December 2025 in “Journal of the European Academy of Dermatology and Venereology” The correction does not change the study's main findings.
Higher cannabis use may be linked to more severe hair loss.
Higher cannabis exposure may worsen hair loss.
Machine learning can accurately predict hair loss early, improving treatment options.
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.
September 2025 in “Bioengineering” The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
The model accurately predicts hair loss severity in alopecia areata.
August 2025 in “BMC Pharmacology and Toxicology” The LTF gene may help predict and manage nonspecific orbital inflammation.
Machine learning can improve early and accurate detection of PCOS.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
January 2025 in “Dermatology Practical & Conceptual” A new genetic model may improve treatment and diagnosis for certain inherited skin diseases.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
The model accurately identifies hair diseases using deep learning.
September 2024 in “arXiv (Cornell University)” Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
May 2024 in “Archives of dermatological research” LGFs slightly improve hair transplant results more than PRP.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
June 2023 in “Research Square (Research Square)” Different immune responses cause hair loss in scalp diseases, with unique patterns in scalp psoriasis possibly protecting against hair loss.
April 2023 in “Journal of Investigative Dermatology” PTEN was identified as a specific marker for the skin disease cutaneous lupus erythematosus, and it helps increase the expression of harmful type I interferons.
May 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” rPanglaoDB helps study rare cell types by merging RNA data, confirming fibrocytes' role in healing.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
March 2017 in “Fundamental & Clinical Pharmacology” The model and estimator can predict drug exposure in kidney transplant patients well.
18 citations
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January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
12 citations
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April 2020 in “Medical hypotheses” Men on 5-alpha-reductase inhibitors might have worse COVID-19 outcomes.
These medications for BPH have known risks and may have new side effects.
These medications for BPH have known risks and may have new side effects.
October 2025 in “Annals of Medicine and Surgery” Retinoids may improve hair growth in androgenic alopecia when used with other treatments.
August 2024 in “Australasian Journal of Dermatology” Australia needs better dermatological guidelines for gender-diverse patients.