1 citations
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January 2026 in “GigaScience” Cell Journey is a tool for better 3D visualization of cell changes over time.
February 2026 in “International Journal of Molecular Sciences” New biological pathways and potential treatment targets for male pattern baldness were identified.
December 2025 in “Phytomedicine Plus” Combining herbal medicines with modern delivery systems may improve alopecia treatment.
December 2025 in “Current Issues in Molecular Biology” Cytarabine can cause multiple organ toxicities, especially neurotoxicity, but better research methods are needed to fully understand and predict these effects.
March 2026 in “Applied Sciences” AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
9 citations
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September 2023 in “Viruses” The XBB lineage of the Omicron variant spread rapidly in Southeastern Wisconsin.
Exosome therapies improve skin, hair, and healing but face challenges like cost and regulation.
April 2025 in “Frontiers in Genetics” Combining genetic models helps improve heat tolerance in beef cattle.
July 2025 in “PNAS Nexus” A new tool accurately identifies human cornea cell states and key factors.
3 citations
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April 2023 in “Frontiers in Pharmacology” ATP-sensitive K+ channel subunits, particularly Sur2A, play a significant role in various cancers.
February 2023 in “Molecules” Cactus extract from Notocactus ottonis may help promote hair growth.
January 2026 in “Revista Eletrônica Acervo Saúde” Long COVID can cause anemia and iron issues, leading to fatigue and slow recovery, especially in men and severe cases.
2 citations
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May 2022 in “Cosmetics” Further research is needed to understand how the microbiome affects hair loss in Alopecia Areata.
January 2024 in “Wiadomości Lekarskie” Robotics will greatly change dentistry with ongoing tech advancements.
February 2026 in “Frontiers in Pharmacology” Genetics can help tailor treatments for male pattern hair loss, improving outcomes like stabilization or modest regrowth.
January 2024 in “Wiadomości Lekarskie” AI and advanced technologies are improving medical diagnostics and treatments.
17 citations
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April 2023 in “Aging” CNGA3, GLUD1, and SIRT1 are promising targets for treating aging and glioblastoma.
3 citations
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June 2017 in “Methods” Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
September 2021 in “Physiology News” Air Vice-Marshal Sir Ralph Jackson significantly advanced dialysis technology in the UK.
February 2026 in “American Journal of Clinical Dermatology” Radiotherapy can cause skin fibrosis, which is often overlooked and needs better treatment and evaluation.
January 2009 in “Springer eBooks” The document concludes that treating skin conditions should include psychological care and a multidisciplinary approach is essential for effective management.
1 citations
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January 2026 in “Frontiers in Cell and Developmental Biology” AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.
July 2024 in “Frontiers in Microbiology” Data-driven methods can help understand microbiota's role in diseases and develop personalized treatments.
January 2024 in “Wiadomości Lekarskie” AI improves vascular surgery by enhancing diagnostics, planning, and monitoring.
The workshop successfully promoted better medicine use and international collaboration.
The workshop promoted better medicine use and health practices through global collaboration.
33 citations
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August 2024 in “Frontiers in Drug Discovery” Drug repurposing is a faster, cheaper way to develop new treatments using existing drugs.
4 citations
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January 2019 in “Elsevier eBooks” Finding new uses for existing drugs is promising and can lead to safer, more effective medicines.
December 2025 in “ADMET & DMPK” Personalized treatments for hair loss focus on specific genetic and biological pathways.
58 citations
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December 2020 in “Mayo Clinic Proceedings” The conclusion is that individual differences in COVID-19 severity are influenced by factors like age, sex, race, and genetics, which are important for personalized medicine.