July 2023 People on Reddit generally have positive opinions about hair loss treatments.
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.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
January 2023 Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
5 citations
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May 2013 AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
February 2016 Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.
37 citations
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December 2014 in “Journal of Biomedical Informatics” Researchers created LabeledIn, a detailed list of drug uses, showing the importance of human input in making such lists.
232 citations
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January 2016 in “BMC Bioinformatics” The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
34 citations
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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.
42 citations
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January 2018 in “Expert review of precision medicine and drug development” Drug repositioning is becoming more targeted and efficient with new technologies, offering personalized treatment options and growing interest in the field.
8 citations
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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.
4 citations
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November 2017 in “Scientific Reports” The research provides a gene-based framework for hair biology, highlighting the Hippo pathway's importance and suggesting links between hair disorders, cancer pathways, and the immune system.
1 citations
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February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
1 citations
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May 2017 in “InTech eBooks” Hair loss in Androgenetic alopecia (AGA) is due to altered cell sensitivity to hormones, not increased hormone levels. Hair growth periods shorten over time, causing hair to become thinner and shorter. This is linked to miscommunication between cell pathways in hair follicles. There's also a change in gene expression related to blood vessels and cell growth in balding hair follicles. The exact molecular causes of AGA are still unclear.
November 2023 Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
September 2023 in “medRxiv (Cold Spring Harbor Laboratory)” Long-COVID has diverse, long-term health impacts, especially in young people.
May 2021 in “The journal of investigative dermatology/Journal of investigative dermatology” Patients using social media have mixed feelings about alopecia treatments, noting hair growth but also frustration with treatment recurrence.
20 citations
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March 2017 in “Arthritis research & therapy” Social media can help compare the effectiveness and safety of new arthritis medications.
1 citations
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December 2022 in “JAAD international” Patients generally feel positive about alopecia areata treatments, but emotions vary by treatment type.
57 citations
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June 2021 in “Science” Women inventors focus more on women's health, but there are few of them.
July 2023 in “Skin health and disease” Most UK survey participants had negative side effects from botulinum toxin injections, with many not fully recovering physically, emotionally, or financially.
February 2016 Reviewers suggested the study on finding new drug uses through social media side-effects needs better methods and clearer limitations.
February 2016 The peer review highlighted the need for clearer data handling, questioned the study's validity, and recognized improvements from the original version.
February 2016 The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
February 2016 Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.
February 2016 Reviewers criticized the study for its assumptions, social media data collection issues, and lack of comparison to existing methods.
1 citations
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January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.
1 citations
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December 2015 in “Balkan Journal of Medical Genetics” Genetic screening can help diagnose and manage infertility in Slovenian couples.
January 2024 in “Curēus” Autonomous robotic surgery is advancing but still requires human supervision for complex procedures.
January 2024 in “Inflammation and regeneration” Th22 cells are essential for Tβ15-induced hair growth in mice.