Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.

Thrombosis, Translational Medicine, and Biomarker Research: Moving the Needle.

Arterial and venous thromboembolism are leading causes of morbidity and death worldwide. Despite significant advances in the diagnosis, prognostication, and treatment of thrombotic diseases over the past 3 decades, the adoption of findings stemming from translational biomarker research in clinical practice remains limited. Biomarkers provide an opportunity to enhance our understanding of pathophysiological processes and optimize treatment strategies.

Breast cancer brain metastases genomic profiling identifies alterations targetable by immune-checkpoint and PARP inhibitors.

Understanding the genomic landscape of breast cancer brain metastases (BCBMs) is key to developing targeted treatments. In this study, targetable genomic profiling was performed on 822 BCBMs, 11,988 local breast cancer (BC) biopsies and 15,516 non-central nervous system (N-CNS) metastases (all unpaired samples) collected during the course of routine clinical care by Foundation Medicine Inc (Boston, MA). Clinically relevant genomic alterations were significantly enriched in BCBMs compared to local BCs and N-CNS metastases.

The Worries About Recurrence or Progression Scale in Cancer (WARPS-C): A Valid and Reliable Measure to Screen for Fear of Cancer Recurrence.

Objective: The Worries About Recurrence or Progression Scale (WARPS) was recently validated in four common chronic illnesses other than cancer, after a rigorous development process based on the COSMIN criteria. Available measures of fear of progression or fear of cancer recurrence (FCR) have been criticised for not meeting all COSMIN criteria. Therefore, this study aimed to explore the psychometric properties of the WARPS in a cancer sample to assess its applicability to measure FCR.