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AI and Machine Learning are at the heart of future healthcare.

We live in a world that is being run by data, an immense amount of data. Today, we can collect […]

Machine learning identifies epigenetic markers of Schizophrenia

We know from twin studies that Schizophrenia carries a 80% heritability risk, but haven’t yet managed to deduce exact genetic […]

FoG 2020 Presentation Michael Barnes, QMUL: RNA Sequencing and Machine Learning as Molecular Scalpels

Professor of Bioinformatics, Director, the Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London Co-Investigator, Health […]

FoG Presentation 2020 Dennis Wang, University of Sheffield: Looking beyond the hype: Applied AI and machine learning in translational medicine

Dennis graduated from the University of British Columbia (Vancouver, Canada) with a BSc in Computer Science, Microbiology and Immunology. He […]

Fighting the war against COVID-19 using Artificial Intelligence

As the COVID-19 pandemic continues to wage global disruption, the race is on to study the virus behind the pandemic: […]

Interview with Seven Bridges: Bill Moss, CEO and Brandi Davis- Dusenbery, CSO tell us what the future holds for Big Data

Data is more than just a hot topic; everyone is focusing on how they can better gather, handle and manipulate […]

Interview with Dr Luigi Grassi, Informatics Scientist, AstraZeneca

I’m Luigi Grassi and I’m an Informatics Scientist at AstraZeneca. I’m responsible for designing and performing bioinformatical analyses of the […]

Microbial DNA in blood samples may reveal who has cancer, and which type

The study, published in Nature yesterday, may change how cancer is diagnosed, and shape our understanding of how cancer interacts with microbes.

“We need to have resilience and tolerance for failure” – Interview with Guillermo Del Angel, Alexion Pharmaceuticals

FLG: Can you introduce yourself and your work? I’m Guillermo del Angel and I’m the Senior Director for Data Science […]

Does your microbiome give away your age?

A collaborative US and Chinese study has found that the microbial communities present on our skin and in our mouths can predict your age, within a margin of several years. Additionally, they found a loss of key bacterial species in older participants, suggesting a potential anti-aging target.