To meet growing demands amid an increasingly challenging industry landscape, a critical decision for a CRO is to ensure ...

Lilly plans to submit orforglipron for approval in weight management by the end of 2025, with a T2D application to follow in ...

Integrating external vendor data into clinical trials enhances efficiency, reduces costs, and improves data quality. It can ...

In clinical research, data accuracy directly affects decision-making, patient safety, and regulatory compliance. That’s why ...

Today, Yunu serves as the trial imaging platform across all oncology clinical trials at more than 25% of the NCI-designated ...

India’s weight loss category is undergoing a dynamic transformation triggered by scientific improvements, pharma innovation, and growing consumer demand ...

Despite significant advancements in spinal muscular atrophy (SMA) management, unmet needs persist, especially for patients ...

Explore new advancements in lung disease treatment, focusing on idiopathic pulmonary fibrosis and its innovative therapies.

The solution is especially beneficial for organisations looking to “consolidate” sourcing efforts and minimise trial delay ...

The aim is to give approved researchers easy access to data without them having to “navigate different systems or make multiple applications for information for the same project,” the government’s ...

Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) ...

Using advanced technology and the skills of the data scientist for data source management from diverse sources can bring many benefits to the speed and quality of clinical trials, says Jim Streeter.