Archive: Artificial Intelligence FDA Prioritizes Patient-Reported Outcomes in Clinical Trials Author: Posted: July 24th, 2019 Categories: Patient-reported outcomes can help optimize clinical trial design and improve study results. Mount Sinai’s New Research Center Focuses on AI – Here’s What that Means for Clinical Trials Author: Posted: July 10th, 2019 Categories: Mount Sinai has announced the 2021 launch of a dedicated AI research center that will study how the technology can enhance the quality of care patients receive and improve the outcomes they achieve. Microsoft Thinks AI Could Solve Clinical Trial Recruitment Problems Author: Posted: July 3rd, 2019 Categories: By matching eligible patients with clinical trials, Microsoft’s new AI bot may help address long-standing recruitment challenges. Mayo Clinic Finds 80% Increase in Clinical Trial Enrollment with IBM Watson Author: Posted: March 21st, 2018 Categories: AI’s success in boosting clinical trial enrollment for breast cancer studies shows that a tech-forward patient recruitment strategy works. AI, mHealth Adoption in Clinical Trials Remains Slow Author: Posted: March 14th, 2018 Categories: Patient recruitment and retention for clinical trials have always been difficult, but AI and mHealth can help – if sponsors and CROs are willing to invest in them. AI, Drones, and Holograms: The Exciting Future of Clinical Trials Author: Posted: September 6th, 2017 Categories: The future of clinical trials may sound like science fiction, but it’s closer to becoming a reality than you might think. Artificial Intelligence is Poised to Transform Clinical Trial Recruitment Author: Posted: August 9th, 2017 Categories: AI-driven technologies are already having a huge impact on the healthcare industry at large – but how will they impact the future of clinical trial recruitment? How AI and Machine Learning Will Transform Drug Development Author: Posted: July 6th, 2017 Categories: Nearly every industry on the planet has embraced artificial intelligence and machine learning technologies – it’s high time the clinical R&D community followed suit.
Archive: Artificial Intelligence FDA Prioritizes Patient-Reported Outcomes in Clinical Trials Author: Posted: July 24th, 2019 Categories: Patient-reported outcomes can help optimize clinical trial design and improve study results. Mount Sinai’s New Research Center Focuses on AI – Here’s What that Means for Clinical Trials Author: Posted: July 10th, 2019 Categories: Mount Sinai has announced the 2021 launch of a dedicated AI research center that will study how the technology can enhance the quality of care patients receive and improve the outcomes they achieve. Microsoft Thinks AI Could Solve Clinical Trial Recruitment Problems Author: Posted: July 3rd, 2019 Categories: By matching eligible patients with clinical trials, Microsoft’s new AI bot may help address long-standing recruitment challenges. Mayo Clinic Finds 80% Increase in Clinical Trial Enrollment with IBM Watson Author: Posted: March 21st, 2018 Categories: AI’s success in boosting clinical trial enrollment for breast cancer studies shows that a tech-forward patient recruitment strategy works. AI, mHealth Adoption in Clinical Trials Remains Slow Author: Posted: March 14th, 2018 Categories: Patient recruitment and retention for clinical trials have always been difficult, but AI and mHealth can help – if sponsors and CROs are willing to invest in them. AI, Drones, and Holograms: The Exciting Future of Clinical Trials Author: Posted: September 6th, 2017 Categories: The future of clinical trials may sound like science fiction, but it’s closer to becoming a reality than you might think. Artificial Intelligence is Poised to Transform Clinical Trial Recruitment Author: Posted: August 9th, 2017 Categories: AI-driven technologies are already having a huge impact on the healthcare industry at large – but how will they impact the future of clinical trial recruitment? How AI and Machine Learning Will Transform Drug Development Author: Posted: July 6th, 2017 Categories: Nearly every industry on the planet has embraced artificial intelligence and machine learning technologies – it’s high time the clinical R&D community followed suit.
