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Gut dysbiosis in clinical Huntington’s Disease

Speaking at the recent Microbiome R&D and Business Collaboration Forum, Anthony Hannan explored research using mouse models for brain disorders, particularly in Huntington’s disease (HD), schizophrenia, depression, and anxiety disorders. He also examined the role of gene-environment interactions involving mental activity, physical activity, stressors, and diet.

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Circulating biomarkers in melanoma immunotherapy

Genevieve Boland, speaking at the Research & Technology Series, described the translational research conducted at her laboratory. Using tumour and blood samples from patients before treatment, at meaningful clinical changes, progression, and post-mortem she, and her team are trying to understand the biology of Melanoma to treat patients better.

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Using the abYsis database for drug discovery

Professor Andrew Martin, UCL, speaking at the 4th Global Pharma R&D AI, Data Science and Informatics Summit, described using the abYsis database and workbench for drug discovery. He showed how it is possible to explore an annotate antibody sequence and structure, including comparisons with observed residue distributions. The database can also aid with humanization by making sequences more human and library design.

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Training AI to predict outcomes for cancer patients

Predicting the outcome of cancer can help the clinical decision-making process related to a patient’s treatment. The potential for Artificial Intelligence (AI) to support this was a key facet of the final keynote speech to the online 7th Digital Pathology and AI Congress: Europe, by Johan Lundin, Research Director at the Institute for Molecular Medicine Finland (FIMM) at the University of Helsinki and Professor of Medical Technology at Karolinska Institutet.

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