Artificial Intelligence in Oncology_part 3

Different AI-based tools have been proposed to maximize the success and efficiency of trials during the planning phase and study conduct. Many of those tools are built upon the latest natural language processing (NLP) machine learning (ML) and deep learning (DL) capabilities

Artificial Intelligence in Oncology_part 2

Artificial intelligence in Oncology Drug Discovery 2. Current AI applications, innovations and resources available to the industry for drug discovery in oncology. AI has the potential to shorten the path to a clinical molecule. The aim is to design and develop novel, precision engineered drugs with an improved probability of clinical success.

Artificial Intelligence in Oncology_Part 1

Artificial intelligence in Oncology Drug Discovery. 1.- Understanding the current possibilities and expectations of drug discovery in oncology. AI has become increasingly relevant within the pharmaceutical industry, with $13.8B invested in companies and partnerships leveraging AI in drug discovery in a consolidating AI-enabled industry

Outsourcing of personnel for Clinical Operations Departments and Medical Departments

Outsourcing of personnel for Clinical Operations Departments and Medical Departments in the Pharmaceutical Industry: FSP’s vs Conventional Outsourcing

Outsourcing of personnel for Clinical Operations Departments and Medical Departments in the Pharmaceutical Industry: FSP’s vs Conventional Outsourcing