The European Patent Office has denied two patent applications on the grounds that an AI system cannot be listed as the inventor. For the first time, the European Patent Office (EPO) has issued a ruling on its approach to patent applications that designate artificial intelligence …›
The year 2019 saw relatively few developments in the digital health space. Although progress has been slow, FDA did make headway on two initiatives: (1) addressing the unique challenges of regulating artificial intelligence and machine learning (AI/ML) in medical applications, and (2) implementing changes …›
Between 2013 and 2016, the number of Artificial Intelligence (AI) related patent applications in the life sciences and medical sciences grew by about 40%*, and, with continuing advances in technology, has likely increased substantially since 2016. Although this finding may not come as a …›
Are companies keeping up with technological advances, and what are they doing specifically to contribute to society and provide value? What are the future prospects, and what kind of opportunities are being created for progress, including in the digital and scientific arenas? As Japanese companies …›
Bethany Hills authored an article for PHARMAnetwork, covering how the pharmaceutical industry has been adopting artificial intelligence and machine learning. Bethany discusses that the pharmaceutical sector has been one of the more robust areas where private partnerships with artificial intelligence-based technology companies have developed. …›
In the life sciences, artificial intelligence (AI) may be facilitating a sea change in how diseases are diagnosed, prognosed, and treated, and even how therapies are discovered and produced. Indeed, it is possible for AI to provide insights into disease and treatment that could …›
With Artificial Intelligence (AI) and Machine Learning (ML) rapidly becoming significant players in multiple areas of science and technology, it came as no surprise to witness a full house for Athena’s program “Taking Artificial Intelligence (AI) and Machine Learning (ML) from Concept to Application,” …›
Artificial intelligence and life sciences – the combination of the two is creating a new wave of innovation. With AI, we now have the power to analyze massive amounts of data for drug discovery, medical diagnosis, biotechnology, clinical trials, personalized medicine, electronic health records, …›
Artificial intelligence (AI) encompasses technologies that have become increasingly relevant — and strategically important — to companies of all sizes across a wide range of fields. For example, AI technologies such as computer vision are critical to the operation of autonomous vehicles and pick-and-place …›