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Buoyed by strong mid-stage study results, the biotech will soon start a cardiovascular outcomes trial of a drug designed to target a genetic risk factor called lipoprotein(a).
A study published in JAMA Oncology found that in cancer drugtrials conducted between 2008 and 2018, nearly two-thirds of participants were non-Hispanic whites. When trial populations don’t match the broader patient base, the treatments they produce aren’t as effective. Nearly all diseases have a genetic component.
Obesity, diabetes, and genetics are the primary drivers, and COVID is about to make this exponentially worse. But herein lies the dichotomy that medicine has created: By failing to regularly screen to find the early-stage disease, the number of patients who could participate in drugtrials is limited.
The exact cause of pulmonary fibrosis is often unknown, and in such cases, it is referred to as idiopathic pulmonary fibrosis (IPF); however, certain factors can contribute to the development of pulmonary fibrosis, including environmental and occupational exposures, certain medications, autoimmune diseases and genetic predisposition.
AI can also speed up crucial steps in the pharma R&D process, such as the discovery process for novel drug compounds or the design of clinical drugtrials. AI can help identify specific patient populations that are most likely to benefit from a particular drug based on factors such as genetic makeup and lifestyle.
Despite these statistics, in the US, Black people only constitute five percent of all clinical trial participants. The overwhelming majority of trial participants nationwide are white. However, the links between race-based genetics and disease are not quite clear. Personalized Medicine.
Generalizability: Determining if results from a diverse participant group can be applied more broadly across various populations outside the trial. Scientific Validity: Ensuring that diverse genetic backgrounds are considered, which can influence how patients metabolize drugs and respond to therapies.
When combined with rapid advancement in delivery technologies, mRNA has the potential to lead to breakthroughs in the development of tailored treatment approaches in a wide range of indications from cancer to rare genetic disorders while enabling rapid responses to emerging threats.
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