Scaling up a targeted exposome LC-MS/MS biomonitoring method by incorporating veterinary drugs and pesticides.

Humans are exposed to a cocktail of food-related and environmental contaminants, potentially contributing to the etiology of chronic diseases. Better characterizing the "exposome" is a challenging task and requires broad human biomonitoring (HBM). Veterinary drugs (VDs)/antibiotics, widely used and regulated in food and animal production, however, are typically not yet included in exposomics workflows.

Development of a supportive care framework for breast cancer survivor's unmet needs: A modified Delphi study.

Aim: To establish a supportive care framework for addressing unmet needs among breast cancer survivors, providing practical guidance for healthcare providers to assess and manage these needs, ultimately enhancing the health outcomes and quality of life of breast cancer survivors.

Design: We conducted a two-round Delphi survey to gather expert opinions regarding the unmet needs supportive care framework for breast cancer survivors.

Methods: Initial framework identification and inquiry questionnaire creation was achieved via literature search and expert group discussions, which included 15 experts from nursing practice, clinical medicine, nursing management and nursing education was conducted using a Delphi survey.

Interventions to improve access to clinical trials in urologic oncology.

Introduction: Most cancer patients are never enrolled in clinical trials, resulting in missed potential therapeutic benefits to patients and barriers to drug development and approval. With a focus on urologic oncology clinical trials, we reviewed the current literature on barriers to accrual and present effective interventions to overcome these barriers.

Methods: PubMed was searched for articles regarding physician referral and patient accrual to clinical trials in urologic oncology from January 2000 through June 2021.

Comparability of Steroid Collision Cross Sections Using Three Different IM-HRMS Technologies: An Interplatform Study.

Steroids play key roles in various biological processes and are characterized by many isomeric variants, which makes their unambiguous identification challenging. Ion mobility-mass spectrometry (IM-MS) has been proposed as a suitable platform for this application, particularly using collision cross section () databases obtained from different commercial IM-MS instruments. is seen as an ideal additional identification parameter for steroids as long-term repeatability and interlaboratory reproducibility of this measurand are excellent and matrix effects are negligible.