Rising Incidence of Young-Onset Cancer: Exploring the Causes and Generational Risk Factors
September 16th 2024At ESMO Congress 2024, Shuji Ogino, MD, PhD, MS, explained that the rising incidence of young-onset cancer may be due to generational risk factors such as lifestyle, diet, and environmental changes, emphasizing the need for long-term research and follow up to understand early-life influences on cancer development.
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Managing Treatment With New and Expensive Drugs: What Pharmacy Leaders Need to Know
September 16th 2024With the introduction of expensive drugs and associated challenges for hospital budgets, pharmacy leaders benefit from strategically managing financial, clinical, and regulatory factors for sustainable care delivery.
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Pharmacists Play a Vital Role in Providing Care to Patients With Uterine Cancer
September 16th 2024Pharmacists’ role in community-based cancer centers are expanding, with a more significant role in treatment plan selection, education, collaboration to create individualized care plans, managing adverse effects, and aiding with financial toxicities.
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Clinical research presented at ESMO 2024 highlights the significant survival benefits of perioperative and neoadjuvant immunotherapy with nivolumab and nivolumab plus ipilimumab, while emphasizing the role of biomarkers such as ctDNA and KRAS mutations in guiding treatment decisions.
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An ESMO 2024 presentation explores the growing role of the gut microbiome in immunotherapy response, emerging diagnostic tools such as PCR chips, and innovative therapies such as fecal microbiota transplantation and microbiome-preserving strategies to improve patient outcomes.
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Unveiling the Microbiota's Role in Cancer: From Tumorigenesis to Treatment
September 14th 2024The gut and intratumoral microbiota influence cancer development, progression, and treatment responses, highlighting the potential for treatment strategies that leverage these microbial interactions to enhance cancer therapies.
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New Frontiers in Technology: AI Use in Clinical Trial Patient Recruitment in Health Systems
AI is significantly enhancing the efficiency of identifying and enrolling patients.
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