While drug developers continue to develop promising investigational cancer drugs, conducting clinical research in oncology remains difficult. Here’s how AI-enabled software can help. The statistics on inadequate trial recruitment and endemic challenges in oncology clinical trials are well known. They have only gotten worse over the past 20 years. While the number of cancer treatments…
Decentralized clinical trials continue to gain ground
The COVID-19 pandemic has led to fundamental changes in how pharmaceutical companies and physicians interact with patients. And yet — for all of the talk about digital transformation, artificial intelligence (AI) and decentralized clinical trials in medicine in recent years — the adoption of those concepts has lagged. “The reality is that we’ve gone after…
On ePRO and ensuring data integrity
As clinical trials have become more decentralized, there has been an increased focus on the need for more patient-centric drug development. This focus has led to a variety of eClinical applications. Electronic patient-reported outcomes (ePRO) and other electronic clinical outcome assessment (eCOA) approaches can transform trials to make them more pragmatic, patient-centric and efficient. Such…
Q&A: Keys to unlock data science potential for drug discovery
For all of its promise in healthcare and elsewhere, deploying artificial intelligence is frequently a challenging endeavor. “Close collaboration between data science teams, other project team members and stakeholders is essential,” said Jennifer Bradford, director of data science at Phastar, the London-headquartered contract research organization. While input from computational, statistical or medical experts could be…
Researchers at Genuity and Yale shed light on aortic aneurysms
Researchers at privately-held Genuity Science and Yale University Medical School have revealed why aortic aneurysms form. The scientists discovered that an expansion in abnormal cells in smooth muscle tissue of the aorta can contribute to aortic aneurysm. The researchers came to that conclusion by using a combination of generative artificial intelligence, single-cell biology and RNA sequencing to…
Researchers aim to speed drug discovery with human-understandable ML models
Researchers at Purdue University have devised chemical reactivity flowcharts and novel machine learning models that could accelerate drug discovery. Although the use of machine learning for drug development has grown, researchers’ ability to understand machine learning recommendations has been limited. In a paper published in Organic Letters, Purdue professor Gaurav Chopra noted that the machine…
AI VIVO’s artificial intelligence may have found more drugs to fight COVID-19
AI VIVO (Cambridge, UK) says it is looking for pharma and biotech companies interested in working on therapeutic candidates that its artificial intelligence has identified as “top-ranked” for COVID-19. The company says it has found that multiple groups around the world already are conducting clinical trials for 41 of the candidate drugs from its top-ranked…