We can run tests and experiments, but we cannot always predict and understand why AI does what it does.
Artificial Intelligence can be applied throughout the whole patient journey. We outline the current state and future applications of AI in preventing and diagnosing diseases to personalizing treatment or predicting pandemics.
Graphene represents incredible opportunities for advancement in many fields, including medical science.
Researchers examined people’s emotional response to cloned faces, which could soon become the norm in robotics.
To enhance human-robot collaboration, researchers at Loughborough University have trained an AI to detect human intention.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
A deep learning-based technique can be used to eliminate the need for special stains to be prepared by human histotechnologists.
AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.
Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.