61 citations
,
June 2022 in “IEEE Journal of Biomedical and Health Informatics” The new method improves skin cancer detection in imbalanced datasets.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
212 citations
,
September 2015 in “Journal of Investigative Dermatology” The document provides a method to classify human hair growth stages using a model with human scalp on mice, aiming to standardize hair research.
34 citations
,
January 2020 in “IEEE Access” A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
3 citations
,
June 2023 in “Frontiers in Medicine” A new model uses specific blood markers to predict if children's hair loss will return.
July 2025 in “Biotechnology and Bioprocess Engineering” Spirulina extract may effectively promote hair growth and reduce inflammation, offering a natural alternative for hair loss treatment.
5 citations
,
June 2023 in “Engineering Technology & Applied Science Research” The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
September 2024 in “arXiv (Cornell University)” Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
January 2026 in “International Journal of Women s Health” A new model helps predict treatment success in girls with early puberty.
Researchers developed a cost-effective, ethical skin model using hairless guinea pig cells for toxicology studies.
1 citations
,
November 2023 in “BMC chemistry” Tadalafil and Finasteride may help treat aggressive melanoma.
Hair can accurately predict iron levels in cattle muscle, helping diagnose mineral imbalances.
3 citations
,
September 2024 in “International Journal of Molecular Sciences” Mathematical modeling helps understand and predict the MAPK cell signaling pathway.
February 2026 in “International Journal of Molecular Sciences” 3D human skin models show promise for dermatology but face challenges in standardization and cost.
Retinoids can help reduce keratin buildup in skin conditions.
5 citations
,
January 2023 in “International Journal of Molecular Sciences” Hair follicles could be used to noninvasively monitor our body's internal clock and help identify risks for related diseases.
21 citations
,
October 2023 in “The Journal of Physical Chemistry C” Phosphates strongly attach to cerium dioxide nanoparticles, showing specific spectral patterns.
9 citations
,
September 2022 in “Journal of Clinical Investigation” Replacing defective mesenchymal cells with normal ones fixes thymic growth issues in 22q11.2DS mouse models.
3 citations
,
April 2023 in “Cytotechnology”
June 2023 in “Frontiers in Bioengineering and Biotechnology” The conclusion is that accurately replicating the complexity of the extracellular matrix in the lab is crucial for creating realistic human tissue models.
4 citations
,
March 2024 in “Forensic Sciences Research” Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
12 citations
,
November 2023 in “Medicine” AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
1 citations
,
July 2021 in “Current nanomedicine” The new gel formulation for Acitretin improves topical delivery and reduces oral toxicity.
5 citations
,
April 2023 in “Drug Design Development and Therapy” Drug repositioning can save time and money but needs more support.
17 citations
,
July 2024 in “Advanced Intelligent Systems” Human-robot interaction becomes simpler as robots achieve full autonomy in surgery.
126 citations
,
August 2018 in “Molecular Systems Biology” Fibroblast state switching is crucial for skin healing and development.
32 citations
,
June 2024 in “Pharmaceutics” Nanoformulations improve drug delivery through the skin, reducing side effects and enhancing effectiveness.
26 citations
,
May 2020 in “JCI Insight” Alopecia areata involves specific immune cells, offering potential treatment targets.
17 citations
,
May 2025 in “MedComm” Organoid technology is improving personalized medicine by better predicting drug responses and treatments.
Accurate prediction of eye, hair, and skin color in Latin American populations requires region-specific models and ethical guidelines.