Artificial Intelligence in Clinical Research

Artificial Intelligence in Clinical Research

Artificial intelligence in clinical researchAI driven clinical research has an objective to aid the human to make a decision by utilizing its capacity to rapidly "perused" unlimited measures of logical information. Typically, the research is distributed in various notes and records (having definitive context), tissue/blood tests, designs which forms as information to make experimental speculations which can contribute for pharma organizations' medication advancement. Managing the drug pipeline is always tough nut to crack so as to efficiently move through costly and time-consuming clinical trials at the earliest. Every delay in the race to market means millions of dollars in lost revenues for innovative drug and here come the importance of having AI in Clinical Trials.

Artificial Intelligence in Clinical Data Management could help both specialists and patients. Alta-Futuris AI team provides immense value as

  • It helps in determining the pattern of how well the drug is performing in the patients.
  • It helps in determining the pattern of side effects or adverse events that are seen in different patient pools. Hence this can lead to efforts for avoiding such side effects in the patients.
  • The post marketing study is a tedious task as it involves a huge number of data which is tough for normal eyes to analyze and predict the defects in terms of efficacy and safety. Whereas, with the improved technology of machine learning, this can be easily analyzed. The drugs that can cause harmful adverse events or side effects at a higher proportion compared to its therapeutic activity can be easily withdrawn at a much earlier stage.