The model accurately predicts hair loss by analyzing various factors.
July 2024 in “International Journal of Molecular Sciences” MicroRNAs could help assess and manage multiple chronic diseases.
April 2019 in “Journal of Investigative Dermatology” Non-coding RNA boosts retinoic acid production and signaling, aiding regeneration.
16 citations
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February 2018 in “BMC Genomics” Certain genetic markers linked to reproductive potential were identified by their impact on a protein's ability to bind to genes.
November 2020 in “Journal of Pharmaceutical Sciences” The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
Current methods can't accurately predict which long-form answers people prefer; evaluations should consider different answer qualities separately.
The review suggests the study on male pattern baldness needs more detail on sample size, methodology, bias, and ethical considerations.
4 citations
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August 2019 in “Journal of Dermatology” The conclusion is that balancing cost and carbon emissions in hybrid power systems is crucial, especially when high reliability is needed, but the model needs to consider all device efficiencies and distribution losses.
7 citations
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August 2023 in “Therapeutic Innovation & Regulatory Science” A new method uses expert reviews of home videos to objectively assess children's developmental milestones in single-arm trials.
April 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” The study identified key genes and pathways linked to hair disorders, aiding precision medicine.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
20 citations
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
April 2019 in “Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature” PCOS shares similar genetic traits across different diagnosis criteria and is linked to other health conditions.
March 2024 in “PLoS medicine” Physical activity, height, and smoking affect prostate cancer risk.
March 2021 in “The British Journal of Psychiatry” Countries with stricter cultures had fewer COVID-19 cases and deaths, paranoia is linked to false memories, psychosocial intervention works as well with or without antipsychotic drugs for young people with psychosis, smartphones can detect changes in behavior indicating illness relapse, and recruitment agents show regional and gender biases.
8 citations
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September 2022 in “Human genomics” Key genes and pathways involved in thyroid eye disease were identified, aiding potential treatment and diagnosis.
A machine-learning test using hair can help detect autism early in infants.
November 2025 in “Mendeley Data” November 2025 in “Mendeley Data” 43 citations
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December 1988 in “International Journal of Bio-Medical Computing”
1 citations
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January 2016 in “Recenti Progressi in Medicina” Public health decisions should rely on independent trials, not biased literature.
3 citations
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October 2023 in “Journal of Pain” Certain proteins might predict surgical success in trigeminal neuralgia treatment.
2 citations
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March 2024 in “PubMed” More research is needed on alopecia areata treatments and its psychological effects.
September 2025 in “JAAD reviews.” September 2015 in “International Society of Hair Restoration Surgery” AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
January 2026 in “Open Science Framework” AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.