ACRP blog
APRIL 5, 2023
Through these collaborations, advanced technologies tied to AI and big data are being employed to develop personalized and targeted medicines, ultimately leading to more effective treatments for diseases like cancer and immune deficiencies,” Lyons notes.
pharmaphorum
JULY 14, 2022
A pilot study has been launched by the EMA to see whether it is helpful for regulators to look at the ‘raw data’ from clinical trials submitted in support of new marketing application along with the usual structured analyses from sponsors. It may also help the regulator to define target treatment populations better.
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pharmaphorum
MAY 25, 2021
Opportunities are growing for real-world evidence research as the technology matures and a pioneering new partnership between Savana, utilising its AI-driven clinical research methodology, and BREATHE aims to drive innovative research using this new way of working. The benefits of RWE. About BREATHE.
pharmaphorum
JULY 4, 2022
Together, the webinar panellists explored the potential of medical informatics solutions and methods in rare disease research, studies, data optimisation, and usability to overcome these challenges, all whilst maintaining compliance with data protection regulations and a patient-centric approach.
Pharmaceutical Technology
NOVEMBER 1, 2022
Countries like Estonia and Finland have taken on a completely digitised approach to their health services , integrating EHR data to efficiently prescribe medications and improve treatment strategies. Darwin is part of a package of projects and initiatives to transform to data-driven medicines regulation.”.
pharmaphorum
DECEMBER 22, 2021
Within Prime Patient, we have experts in patient strategy, clinical trial recruitment and patient education who are asked for their recommendations on the future of patient engagement by our clients as standard (see summaries). Rise of the machines – big data, AI and machine learning.
pharmaphorum
MARCH 16, 2021
International deep real-world evidence company Savana is on a mission to give health researchers the power to unlock the clinical value embedded within electronic health records (EHRs) using artificial intelligence (AI) and clinical Natural Language Processing (NLP) techniques. AI use in the pandemic.
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