ICON outlines how these innovations, including increased use of biomarkers and innovative trial designs, can be implemented in its new whitepaper: ‘Early, precise and efficient: The methods and technologies advancing Alzheimer’s and Parkinson’s R&D’.
Biomarkers are one of the most promising tools to identify potential clinical trial participants early in their disease progression. Encouragingly, nearly all respondents (97%) reported using biomarkers to identify patients and over half (59%) are leveraging AI tools to accelerate biomarker detection. Whilst this uptake is promising, biomarkers are not yet being optimised for full implementation. The use of biomarkers can sometimes make a trial longer, more expensive, and slower to enrol patients. However, implementation of biomarker tests could be increasingly implemented to address some of the more resource-intensive eligibility criteria, such as imaging or CSF status.
Innovative clinical trial methodologies can also speed up drug development, yet the survey findings indicate that respondents are not experimenting with these as much as they could. For example, only 28% of respondents reported implementing an adaptive trial design of any type, while even fewer reported using historic controls (22%) or master protocol designs (19%), all of which can accelerate patient recruitment.
Encouragingly, the survey revealed sponsors are not deterred from investing in R&D, especially in a diversified way. A large majority of respondents (87%) reported that they plan to invest in multiple therapeutic areas or a combination approach. They are also using AI to accelerate R&D, predominantly for the initial steps of the development process. For example, half of respondents who reported using AI or machine learning employ it for hypothesis generation (48%) and lead discovery (50%).
Interestingly, the survey findings suggest that collaboration across industry is also an underappreciated acceleration opportunity. Only 29% of respondents indicated that it was an area that could support and accelerate R&D.
For further information on this whitepaper, please visit http://www.iconplc.com/CNS-trials
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