Personalizing Value in Cancer Care: The Case for Incorporating Patient Preferences Into Routine Clinical Decision Making

Biosimilars in the Era of Artificial Intelligence-International Regulations and the Use in Oncological Treatments

This research is based on three fundamental aspects of successful biosimilar development in the challenging biopharmaceutical market. First, biosimilar regulations in eight selected countries: Japan, South Korea, the United States, Canada, Brazil, Argentina, Australia, and South Africa, represent the four continents. The regulatory aspects of the countries studied are analyzed, highlighting the challenges facing biosimilars, including their complex approval processes and the need for standardized regulatory guidelines. There is an inconsistency depending on whether the biosimilar is used in a developed or developing country. In the countries observed, biosimilars are considered excellent alternatives to patent-protected biological products for the treatment of chronic diseases. In the second aspect addressed, various analytical AI modeling methods (such as machine learning tools, reinforcement learning, supervised, unsupervised, and deep learning tools) were analyzed to observe patterns that lead to the prevalence of biosimilars used in cancer to model the behaviors of the most prominent active compounds with spectroscopy. Finally, an analysis of the use of active compounds of biosimilars used in cancer and approved by the FDA and EMA was proposed.

Racial and ethnic disparities in knowledge, attitudes, and invitation to participate in clinical trials among cancer survivors in the United States: An analysis of the 2020 U.S. HINTS

Background

Despite the use of clinical trials to provide gold-standard evidence of cancer treatment and intervention effectiveness, racial/ethnic minorities are frequently underrepresented participants. Our objective was to evaluate racial/ethnic differences in knowledge and attitudes towards clinical trials among U.S. cancer survivors.

Methods

We leveraged the 2020 Health Informational National Trends Survey (HINTS) data (February-June 2020), which is a weighted, nationally representative survey of 3865 adults (≥18 years), including cancer survivors. We descriptively evaluated cancer survivor's (n = 553) knowledge of clinical trials, and trusted sources of information regarding clinical trials. Using Poisson regression, we estimated predictors of self-reported knowledge of clinical trials.

Results

Among cancer survivors, 82 % were NH-White and 60 % self-reported to at least have some knowledge about clinical trials. When asked about factors that would influence their decision to participate in clinical trials, participants across racial groups frequently chose "I would want to get better" and "If the standard care was not covered by my insurance." NH-White (76 %), NH-Black (78 %), and Hispanic/Latinx (77 %) cancer survivors reported their trusted source of information about clinical trials was their health care provider; NH-Asian cancer survivors reported their health care provider (51 %) as well as government health agencies (30 %) as trusted sources. Cancer survivors with only a high school degree were less likely to have any knowledge of clinical trials compared to those with a Baccalaureate degree or more (aPR:0.61;95 % CI:0.45-0.83).

Conclusion

Health care providers are a trusted source of clinical trial information.

Pyramidal Decision Support Framework Leverages Subspecialty Expertise across Enterprise to Achieve Superior Cancer Outcomes and Personalized, Precision Care Plans

The complexity of cancer care requires integrated and continuous support to deliver appropriate care. An expert network with complementary expertise and the capability of multidisciplinary care is an integral part of contemporary oncology care. Appropriate infrastructure is necessary to empower this network to deliver personalized precision care to their patients. Providing decision support as cancer care becomes exponentially more complex with new diagnostic and therapeutic choices remains challenging. City of Hope has developed a Pyramidal Decision Support Framework to address these challenges, which were exacerbated by the COVID pandemic, health plan restrictions, and growing geographic site diversity. Optimizing efficient and targeted decision support backed by multidisciplinary cancer expertise can improve individual patient treatment plans to achieve improved care and survival wherever patients are treated.