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Deep learning in genomics – are we there yet?

As genomic sequencing becomes more routine, handling the sheer volume of data being produced is causing major issues. We must […]

Knowledge graphs for drug development

Knowledge graphs are critical to many industries today, with big tech giants such as Google and Facebook driving their recent […]

How to integrate multi-omic data

With the advent of high-throughput techniques, we have a greater capability than ever before to study a diverse range of […]

3 Major Forces Re-Shaping the Business Landscape Due to COVID-19

The business impact of COVID-19 is proving to be significant. The post-COVID-19 world is going to look very different to […]

Interview with Seven Bridges: Bill Moss, CEO & Brandi Davis- Dusenbery, CSO: What the future holds for big data

Front Line Genomics recently caught up with Bill Moss, CEO, and Brandi Davis-Dusenbery, CSO, of Seven Bridges to hear their […]

“We are starting to appreciate non-coding DNA” – Interview with Dr Sandra Smieszek, Vanda Pharmaceuticals Inc.

FLG: Could you give us an introduction of yourself and the work you do? I’m Sandra Smieszek and I’m the […]

Interview with Dr Halima Moncrieffe, Assistant Professor, Cincinnati Children’s Hospital Medical Center

Dr Halima Moncrieffe is an Assistant Professor at Cincinnati Children’s Hospital, ranked top 3 in the USA, where she combines genomics with immunology to understand medication response and disease etiology. Halima is an award-winning immunologist who’s ultimate goal is to move towards a cure for Juvenile Idiopathic Arthritis, so children can live pain-free and to their full potential

The wait is over: The Festival of Genomics & Biodata returns to Boston

After a six-year wait, the world’s largest Genomics and Biodata event is making its highly anticipated return to Boston! Join […]

Predicting FDA approval using artificial intelligence

Researchers from the University of California San Diego School of Medicine have described a new approach that uses artificial intelligence […]

Outer product-based convolutional neural network to predict the outcome of clinical trials

Researchers at Dankook University in Korea have put forward an outer product-based convolutional neural network (OPCNN) model to accurately predict […]