April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” The study explores miRNA changes in female hair loss.
2 citations
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November 2025 in “Briefings in Bioinformatics” Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.
January 2026 in “Figshare” January 2026 in “Figshare”
2 citations
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April 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
March 2024 in “Research Square (Research Square)” Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.
4 citations
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May 2017 in “Data in Brief” Five molecular elements identified as potential future targets for hair loss therapy.
1 citations
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September 2017 C-scores can help predict gain-of-function and loss-of-function mutations.
2 citations
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October 2024 in “Phenomics” iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
4 citations
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February 2018 in “EMBO reports” New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.
16 citations
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May 2023 in “Journal of the American Statistical Association” A new method makes analyzing large datasets with rare events faster and more efficient.
8 citations
,
March 2023 in “International Wound Journal” IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
10 citations
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May 2007 in “Oncology Reports” Colorectal cancer's ability to spread is due to changes in many genes, not just one.
November 2025 in “Mendeley Data” November 2025 in “Mendeley Data” 2 citations
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July 2025 in “Analytical Chemistry” The method effectively images and correlates elements and metabolites in tissue samples at a micron scale.
1 citations
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August 2023 in “Journal of cutaneous pathology” The analysis of a large pilomatricoma revealed five distinct areas with different gene activity related to hair growth and tumor development.
September 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Researchers created an efficient method to extract DNA from marmoset hair, avoiding blood chimerism.
September 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Researchers created an efficient method to extract DNA from marmoset hair, reducing blood chimerism.
7 citations
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October 2013 in “Methods in molecular biology” These methods help understand DNA changes in mouse skin.
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.
5 citations
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October 2014 in “Methods” The document explains how to create detailed biological pathways using genomic data and tools, with examples of hair and breast development.
2 citations
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January 2014 Data mining helps identify and address nutrition deficiencies affecting health.
A comprehensive human skin cell atlas was created to better understand skin biology and disease.
2 citations
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October 2023 in “Cancer Reports” Mitochondrial features can predict colorectal cancer outcomes and improve immunotherapy.
43 citations
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December 1988 in “International Journal of Bio-Medical Computing”