The developers of DSP-1181, a drug created using AI, announced that it has entered a Phase I clinical trial for the treatment of obsessive-compulsive disorder (OCD).
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A study has suggested that while funding for artificial intelligence in pharma was $5.2bn in 2019, overall investment is slowing.
Functional links between metabolic, cardiovascular and renal diseases, as well as a focus on digital and a personalised approach will shape diabetes drug development in 2020, says new analysis.
Artificial intelligence can be applied to almost every part of the pharma industry. Christopher Rafter discusses its many uses and how the adoption of machine learning will increase in the future.
A survey has shown that the pharmaceutical industry believes R&D will see a lot of benefit from digital transformation and that AI will be at the forefront of this.
Adopting IoT systems as a pharmaceutical company can provide many opportunities but achieving success can be difficult. James Steiner explains how to effectively integrate IoT solutions into pharma.
Researchers have created an AI model that analyses the citations of studies, predicting their potential for eventual clinical application.
The seven centres will aid disease research and clinical development, improving access to patient data for studies.
New article says that to take full advantage of deep-learning solutions in healthcare, the US and China should collaborate, not compete.
New supercomputing centres have been selected to support Europe's researchers, industry and businesses to design medicines.
A new AI project marks the first time 10 pharmaceutical companies have agreed to share data to aid drug discovery.
Mayo study uses artificial intelligence to create inexpensive, widely available early detector of heart disease...
MedUni Vienna researchers have developed a way to use retinal imaging to diagnose diabetes, explaining how the technique could be used for other conditions...