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Glossary Machine 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

5 / 1000+ results

Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach

research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach

8 citations , August 2021 in “Computational and Mathematical Methods in Medicine”

This article proposes a machine learning framework for classifying healthy hair and alopecia areata using image processing and classification techniques, but does not report new clinical findings.

research Machine Learning Applications for Drug Repurposing

8 citations , June 2024

This review discusses the increasing role of machine learning in drug repurposing, demonstrating how algorithms can reveal new therapeutic uses for existing drugs and predict side effects, with potential benefits for precision medicine, while also addressing ethical and privacy concerns.

research Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing

5 citations , January 2025 in “Burns & Trauma”

This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.

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”

This study proposed a model that accurately predicts skin condition using genotype information and machine learning, suggesting potential for creating customized cosmetics.

research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology

3 citations , March 2024 in “arXiv (Cornell University)”

This study describes an AI-powered system for diagnosing dermatological conditions, achieving a weighted score of 0.87 in both contextual understanding and diagnostic accuracy, suggesting it could enhance tele-dermatology applications by supporting remote consultations and care access in underserved regions.

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community Realistic timeline for hair regeneration and follicle cloning?

7 upvotes 6 months ago

Hair regeneration and follicle cloning are considered far from being feasible, with current treatments like finasteride, minoxidil, and hair transplants expected to remain dominant for the next 15-20 years. Some are hopeful that AI advancements might accelerate progress, but many remain skeptical about significant breakthroughs in the near future.

community Thoughts on STEM cell hair transplants?

in Transplants 4 upvotes 3 years ago

Stem cell hair transplants are not FDA approved and remain theoretical, with concerns about effectiveness and safety. Current treatments like finasteride and minoxidil are still the main options, while hair cloning and new drug cures are likely years away.

community Every Single RU58841 Study Analysed - Youtube Video

in Research/Science 11 upvotes 1 year ago

RU58841 is discussed as a potential hair loss treatment, with comparisons to finasteride. There is interest in leaked trial data, but no official clinical validation or approval for RU58841.

community Baldness Breakthrough: microRNA Stimulates Hair Growth in Aging Follicles

316 upvotes 3 years ago

miR-205, a tiny RNA, can stimulate hair growth by softening aging hair follicle stem cells in mice. Future tests aim to see if this can work in humans.

community How is there zero improvement with finding the cure?

in Research/Science 245 upvotes 7 months ago

Hair loss treatments have not advanced since 2018, with finasteride, minoxidil, and RU58841 still being the main options. A permanent cure is unlikely due to the profitability of ongoing treatments.

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