Raremark’s patient data and demographics will be integrated in TriNetX’s platform to help people with rare conditions access clinical trials and facilitate recruitment.
PPD puts the spotlight on special patient populations by supporting clinical trials with Asian participants, preparing developers to expand into the Asian market.
Computer model predicts worsening cognitive scores, opening door to the use of machine learning in the selection of participants in Alzheimer’s disease trials.
Theralase taps an undisclosed trial management organization for the site selection of its multi-country bladder cancer study which aims to enroll 100 patients across 20 sites.
PPD’s patient enrollment business expands access to cancer patients treated in the community setting as part of a new collaboration with a hospital and outpatient center network.
Innovative Trials will work with an undisclosed global pharmaceutical company to speed up patient recruitment for clinical trials using its proactive site optimization service.
Concerto HealthAI launches model to predict survival rates in lung cancer patients in an aim to garner disease insights that could improve enrollment criteria.
Social, cultural, and financial barriers pose a challenge in enrollment for oncology clinical trials, but USC investigator believes mitigating barriers to diversify research may provide comprehensive data.