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GlossaryMachine Learning

using data to train algorithms for pattern recognition and decision-making

Machine Learning (ML) is a subset of artificial intelligence (AI) that involves training algorithms to recognize patterns and make decisions based on data. Instead of being explicitly programmed to perform a task, ML systems learn and improve from experience, making them useful for applications like predicting hair loss patterns in alopecia patients or identifying biological markers in complex datasets.

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research Machine Learning Predicts Scarring Progression in Lichen Planopilaris: A Multidimensional Model Integrating Trichoscopy, Vitamin D, and Diagnostic Timelines

September 2025 in “International Journal of Medical Informatics”

A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.

research A Genome-Wide Association Study and Machine Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women

5 citations , March 2022 in “Clinical Cosmetic and Investigational Dermatology”

The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.

research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-Based Cohort

1 citations , December 2022 in “Sultan Qaboos University medical journal”

The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.

research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment

July 2023 in “Dermatology practical & conceptual”

The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.

research A Machine Learning and Network Framework to Discover New Indications for Small Molecules

8 citations , August 2020 in “PLOS Computational Biology”

A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.

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community Been on Fin & Min for 5+ years. Results of 60 Days into Micro-needling

in Progress Pictures 52 upvotes 3 years ago

The conversation discusses hair regrowth treatments, specifically using finasteride, minoxidil, and microneedling with the Derminator. Users report significant improvements, especially after adding microneedling to their routine.

community Hair loss research is a money grab

in Chat 217 upvotes 1 month ago

Hair loss is linked to DHT, with treatments like finasteride and minoxidil being common but not definitive. Economic interests influence research, and there is potential for new treatments like PP405 and RU58841.

community What ever happened to hairlosshelp.com ??!

in Update 35 upvotes 3 years ago

User began losing hair in 2006, used Avodart and got a hair transplant in 2012. They discuss the decline of hair loss forums and the shift to Reddit, which isn't ideal for long-form discussions.

community I find it crazy how some people like this bloke have 0 DHT sensitivity. He is on grams of anabolic steroids and has a full, thick head of hair. I wish all of on here had this guys hair genes lol

in Satire 443 upvotes 2 years ago

The conversation is about hair loss and the possibility of maintaining a full head of hair while using anabolic steroids. Some users believe that having good hair genes and taking hair loss protocols can help prevent hair loss while on steroids.

community I’m just Going to let Nature take its Course

in Chat 213 upvotes 2 years ago

The post and conversation are about a 23-year-old deciding to stop using finasteride for hair loss due to potential erectile dysfunction risks, sparking a debate about the benefits and side effects of hair loss treatments.

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