13 citations
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February 2025 in “Nature Communications” A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
2 citations
,
November 2008 Problem-based learning in a biology class improved students' thinking and problem-solving skills.
4 citations
,
December 2004 A new method accurately predicts the flight path of unguided projectiles.
1 citations
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July 2012 in “ACM transactions on graphics” The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.
June 2022 in “Frontiers in Genetics” Machine learning is effective in predicting gene functions and their relationships with diseases.
1 citations
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January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
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.
A few users dominate Reddit discussions on JAK inhibitors, highlighting social media's potential for tracking drug safety but needing expert oversight.
2 citations
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June 2019 in “International Journal of Dermatology” The modified hair loss classification is more detailed but less user-friendly.
3 citations
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July 2023 in “Nature Communications” The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
5 citations
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October 2014 in “Methods” The document explains how to create detailed biological pathways using genomic data and tools, with examples of hair and breast development.
January 2026 in “Open Science Framework” AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
4 citations
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May 2002 in “Dermatologic Surgery” The method improves natural appearance in hair restoration by properly evaluating and treating the temporal peak region.
May 2002 in “Dermatologic Surgery” The method improves natural appearance in hair restoration by properly evaluating and treating the temporal peak region.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
January 2026 in “Archives of Dermatological Research”
May 2023 in “Indian journal of science and technology” The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
30 citations
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January 2024 in “Frontiers in Pharmacology” These migraine prevention drugs can cause side effects like constipation, hair loss, injection site reactions, fatigue, and sometimes unexpected issues like Raynaud's phenomenon and weight gain.
1 citations
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August 2019 in “Journal of Investigative Dermatology” PRDX5 enzyme may contribute to alopecia areata by affecting oxidative stress and autoimmunity.
October 2025 in “Frontiers in Medicine” Ixekizumab has known and some unexpected side effects.
July 2025 in “Journal of Investigative Dermatology” Some sunscreen ingredients may be linked to hair loss, but more research is needed.
February 2025 in “Expert Opinion on Drug Safety” Topical minoxidil may cause more side effects than currently listed, needing updated safety information.
August 2024 in “medRxiv (Cold Spring Harbor Laboratory)” Finasteride has various adverse effects, including sexual dysfunction and mental health issues, which vary by age and gender.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
4 citations
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December 2021 in “Electronics” The new method predicts post-hair transplant images more accurately than other methods.
January 2015 in “Hair therapy & transplantation” New hair and scalp disease diagnosis methods are important for correct treatment.
85 citations
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June 2015 in “Scientific Reports” The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
1 citations
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January 2019 The document concluded that biomedical knowledge changes over time and the study evaluated a new method to track these changes.
158 citations
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January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
July 2025 in “Indian Journal of Forensic Medicine & Toxicology” DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.