According to recent reports, about 90% of all investigational new drugs fail to reach the market. Furthermore, just one-tenth of that meets sales targets.
The roadblocks to success
The average cost of bringing an IND to market is $2.5 billion. Various impediments to drug development success exist, such as very low (5%) patient population involvement in clinical trials, rising trial complexity, and so on. Our analytics and AI service mastery can give much-needed relief
i3 Infotek’s sophisticated analytics and AI expertise enable high clinical trial success, allowing medication producers to achieve desired success while reducing time-to-market and improving realizations across the following:
Randomized Clinical Trials (RCT) have long been the gold standard for life sciences organizations seeking to bring innovative medicines to market. Given the expense (average $2.5B) and time (5-10 years) required to complete an RCT, there has been a current push to investigate data-driven alternatives to drug discovery. The Pragmatic Clinical Trial (PCT) has gained popularity as a technique that combines traditional patient/site interactions with analytical-centered features to speed testing outcomes without sacrificing effectiveness.
Our AI expertise can enable computer simulations even before the clinical trial phase to understand how bench compounds interact with body proteins, allowing for real-time formulation iterations.
The advancement of DNA research continues to improve illness detection and therapy. When applied to individuals, this study, known as personalized medicine, has the potential to transform the standard of care across a wide range of disease conditions.
By merging genomic and traditional laboratory data with data science approaches, i3 infotek’s data scientists and AI professionals help expedite more profound knowledge of the influence of DNA on health, uncovering the scientific relationship between genetics, diseases, and therapeutic response.
Analytics can significantly cut the cost of providing good healthcare. In-depth analysis of billing and clinical data can reveal trends in room occupancy and resource availability, leading to more efficient, timely, and cost-effective patient care.
Our life sciences analytics professionals perform the following tasks.
Analytics and artificial intelligence (AI) can improve the effectiveness of patient-technology interfaces.How we can assist
Image Analysis in Medicine: