7 citations
,
June 2015 in “EMBO Reports” Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
3 citations
,
September 2024 in “Journal of the European Academy of Dermatology and Venereology” Clinicians and researchers must stay informed about big data to improve dermatology care.
July 2024 in “Journal of Investigative Dermatology”
3 citations
,
April 2019 in “Clinical Therapeutics” Computational tools identified 29 drugs that could potentially target 19 genes involved in chemotherapy-induced hair loss, which could lead to more effective treatments.
14 citations
,
June 2021 in “British Journal of Dermatology” The BIOMAP glossary standardizes data to improve research on atopic dermatitis and psoriasis.
April 2016 in “CRC Press eBooks” Biotechnology could lead to new hair growth products.
20 citations
,
March 2014 in “Molecular Endocrinology” NFIB and STAT5 work together to control specific genetic programs in cells.
December 2024 in “Turkish Journal of Forensic Medicine” Next-Generation Sequencing improves forensic analysis by providing detailed genetic information quickly.
822 citations
,
January 2021 in “Genome biology” scMC effectively separates biological signals from technical noise in single-cell genomics data.
July 2024 in “International Journal of Molecular Sciences” MicroRNAs could help assess and manage multiple chronic diseases.
September 2018 in “Facial Plastic Surgery Clinics of North America” Biologicals are increasingly used in medicine and cosmetics, especially for skin and hair treatments, but more research is needed.
12 citations
,
September 2024 in “MedComm” Bioprinting shows promise in medicine but needs collaboration to overcome challenges.
17 citations
,
May 2025 in “MedComm” Organoid technology is improving personalized medicine by better predicting drug responses and treatments.
1 citations
,
August 2025 Drug repurposing can speed up and reduce costs in drug discovery, especially for cancer treatment.
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
2 citations
,
January 2002 in “Hormone Research in Paediatrics” Molecular diagnostics help identify genetic defects causing endocrine diseases, improving diagnosis and treatment options.
11 citations
,
February 2019 in “Research and reports in forensic medical science” DNA phenotyping helps predict physical traits from DNA with varying accuracy and requires careful ethical and legal handling.
1 citations
,
September 2020 in “Leonardo” The exhibition made people think about ethics and society in relation to biotech advances.
Newly designed proteins can effectively degrade specific proteins in cells, offering a potential new therapy method.
May 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” rPanglaoDB helps study rare cell types by merging RNA data, confirming fibrocytes' role in healing.
8 citations
,
May 2025 in “Biomolecules” Forensic genetics can now predict physical traits and lifestyle habits, with future advancements expected from new technologies.
30 citations
,
May 2020 in “Forensic Science International Genetics” The method improved hair analysis for better forensic identification.
Machine learning helps find new uses for existing drugs, improving healthcare.
10 citations
,
December 2017 in “Physiological Reports” Hair follicle analysis can track body changes from high-intensity interval training.
10 citations
,
November 2017 in “Letters in drug design & discovery” Researchers identified promising inhibitors for the BRD4 protein, including finasteride and amentoflavone.
July 2025 in “Indian Journal of Forensic Medicine & Toxicology” DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
3 citations
,
August 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
December 2022 in “Research Square (Research Square)” The QuantAnts machines can find cancer markers and create CRISPR targets for them.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
17 citations
,
April 2023 in “Aging” CNGA3, GLUD1, and SIRT1 are promising targets for treating aging and glioblastoma.