A Seven-fold Path for Defining Quality and Acceptable Performance Many articles have been written about the state of biomarker identification and validation using gene expression and proteomics. Many ...

Cancer biomarkers span a broad biological spectrum, including proteins, metabolites, and nucleic acids detectable in samples such as tissue biopsies and blood. 1 At the beginning of a biomarker ...

Cancer biology is a rapidly evolving field, with pathology and biomarker research at the forefront of innovations in ...

A key step towards reducing the burden of central nervous system (CNS) disorders is the identification of disease-specific biomarkers that can help predict, monitor, and guide treatment development.

Approaches for Overcoming Obstacles to Successful Implementation in the Clinic Biomarkers have become some of the most desired clinical and research tools in the life sciences. They have the potential ...

Background: The Prognostic Lung Fibrosis Consortium (PROLIFIC) was formed to develop well-qualified assays suitable for use as prognostic biomarkers within the context of clinical trials for Idiopathic ...

A multimodal artificial intelligence (MMAI)–derived predictive biomarker was trained for long-term (LT) versus short-term (ST) ADT using pretreatment digital prostate biopsy images and clinical data ...

Differentiating bladder cancer (BLCA) tumor immune microenvironment (TME) profiles based on predicted intrinsic radiosensitivity (RS). This is an ASCO Meeting Abstract from the 2023 ASCO Annual ...

The Forum on Neuroscience and Nervous System Disorders hosted a public workshop on June 21-22, 2010, bringing together key stakeholders, to present promising current and emerging technologies with ...

The FDA Center for Drug Evaluation and Research has accepted a letter of intent for the first biomarker for idiopathic pulmonary fibrosis into its Biomarker Qualification Program, according to a press ...