Clin Assess
For more than 22 years, Clin Assess is a CRO that pursue its work with great passion. They work on commercial studies including those with a high patient number.
Customers appreciate their medical background, their expertise, and the precision in which they achieve their goals and realise all phases of the clinical trial with pinpoint accuracy.
They rely on clear project communication with interactive feedback, provide individual support for their customers and accompany them step by step from the beginning and through all stages of the project.
Their employees are specialists from the pharmaceutical industry, contract research and the clinical sector. They have special expertise in the fields of oncology, cardiovascular diseases, infectious diseases, immunotherapy, personalised medicine and diseases of the central nervous system.
Learn more: www.clinassess.de
A LEADING POSITION AND
AN INTERNATIONAL DEPLOYMENT
64 +
countries
involved
20 000 +
investigational
Centres
3 million +
patients
in database
50 000 +
users
worlwide
LATEST NEWSOUR NEWS >
April 30, 2026
Applied Clinical Trials Online Payment experience—including how, when, and with what level of transparency sites are compensated—is rapidly emerging as a defining factor in the success of clinical trials. Once dismissed as a simple operational nuisance, payments are now recognized as a critical component for shaping site relationships and study outcomes. For years, sites had […]
April 30, 2026
Med City News Certain features, commonplace on most e-commerce platforms, can help transform clinical trial search databases. Digital databases for clinical trial searches have already changed healthcare accessibility, bringing critical information about clinical trials to the patients who need it – and to the physicians who care for them. But these databases are also enormous […]
April 30, 2026
Med City News LLMs bring great potential to help the healthcare industry center care around patients’ needs by improving communication, access, and engagement. However, LLMs also present significant challenges associated with privacy and bias that also must be considered. Large language models (LLMs) have generated buzz in the medical industry for their ability to pass […]