1 citations
,
July 2025 in “The Ewha Medical Journal” The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.
24 citations
,
January 2021 in “Physiological Research” Testosterone affects brain functions and contributes to sex differences, influencing conditions like autism.
10 citations
,
July 2023 in “The Neuroscience Journal of Shefaye Khatam” Vitamin E and C may help slow Alzheimer's and Parkinson's progression.
291 citations
,
April 2010 in “Gastroenterology” Certain proteins, Lgr5 and Lgr6, are important markers of adult stem cells and are involved in tissue repair and cancer development.
September 2024 in “Journal of the American Academy of Dermatology” Oxytocin receptors are found in skin cells near touch and pain neurons.
New imaging tools help doctors better examine hair and scalp health without surgery.
3 citations
,
August 2024 in “Applied Sciences” A web platform was created to help diagnose scalp conditions accurately and easily.
January 2026 in “Pattern Recognition” The new method improves accuracy in segmenting scalp tissue layers.
The model accurately predicts hair loss severity in alopecia areata.
The model accurately classifies hair conditions with 97% accuracy.
A hat with sensors can measure scalp moisture well, helping with hair care.
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
12 citations
,
November 2023 in “Medicine” AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
4 citations
,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
2 citations
,
November 2025 in “Cancer Imaging” Ultrasound-based radiomics and radiogenomics can improve ovarian cancer diagnosis and treatment, but need better standardization and AI tools.
Machine learning can accurately predict hair loss early, improving treatment options.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
February 2026 in “Pharmaceuticals” KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
4 citations
,
December 2021 in “Electronics” The new method predicts post-hair transplant images more accurately than other methods.
January 2026 in “Microsystems & Nanoengineering” New technologies replicate human skin for testing without animals.
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
106 citations
,
August 2024 in “Annals of Medicine and Surgery” AI in robotic surgery improves precision and safety but faces cost and ethical challenges.
63 citations
,
February 2024 in “BMC Psychology” Emotion recognition tech helps devices understand emotions, but more research is needed for complex situations.
25 citations
,
March 2021 in “Australasian Journal of Dermatology” Ustekinumab successfully treated a man's resistant skin condition when other treatments failed.
23 citations
,
April 2025 in “Journal of Clinical Medicine” AI can greatly improve plastic surgery, but ethical care and human aspects must remain a priority.
16 citations
,
July 2023 in “Frontiers in Medicine” Reliable, non-invasive tools are needed for better vitiligo diagnosis.
15 citations
,
November 2024 in “Pharmaceutics” Peptide drugs now target hard-to-reach proteins more effectively and specifically.
9 citations
,
January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
8 citations
,
May 2024 in “Diagnostics” AI chatbots can help teach dermatology but need careful checking for accuracy.