Quantum computing holds transformative potential for areas in life sciences beyond drug discovery – we explore its impact so far
Artificial Intelligence has made tremendous progress, with established applications in diagnostics. We look at these, and areas for future improvement.
Computational modelling continues to support the fight against COVID-19, with population studies that identify and predict important trends.
In silico models are becoming increasingly popular not only in drug discovery, but across clinical research.
Social media mining is one of the ways pharma companies hope to identify key patient population data to support drug development.
The latest news demonstrates the potential impact of AI technologies in research and development and clinical trials.
Emerging brain computer interface technology offers hope for paralysis patients, with recent advancements progressing to clinical trials.
In silico computer models can evaluate new treatments and test conditions. Their ability to model human diseases could have great promise.
DeepMind’s AI system has unlocked the 3D structure of more than 350,000 proteins -but what does this mean for therapeutic advancements?
The integration of AI within pharma manufacturing is slowly increasing, to potentially help keep up with demand on a shorter time scale.
NVIDIA has launched its latest supercomputer. Cambridge-1 has the potential to improve all aspects of life science and pharma research.
The synthetic biology industry is expected to jump from $9.5 billion to $30.7 billion in 2021 – we look at the opportunities and challenges.
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