AI Case Study - Cancer Drug Discovery

Cancer Drug Discovery

Optimizing Cancer Drug Development & Research with AI-Powered Solutions

A Spain-based healthcare AI startup, an emerging name in the medical industry, is involved in the development of tools that can help scientists across the world to improve their research work. Some of the key services provided by this startup are health care oncology workflow, biomarker and drug development, and precision medicine solutions. Leveraging the latest technology and technical expertise, the company identifies unmet necessities, possible side effects, empty areas, and other combinations that can assist in predicting the success of a novel pharmacological compound. You can rely on them for drug development and personalized medicine.

Problem Statement

They were facing issues in ensuring the accuracy during drug development, minimizing the drug failure rate, reducing the research time, and gathering valuable data from the relevant sources. Therefore, the company wanted a solution that can overcome these challenges and help it save big on cost and time.

Challenges

  • Difficulty in minimizing the time spent on collecting data from clinical trials, scientific results, studies, molecular alterations, and other sources.
  • Inability to bring precision in the results obtained during drug discovery or while researching for the drug development.
  • Inability to lower down the drug development failure ratio.
  • Problem while controlling the cost of drug discovery and development.
  • Inability to make predictions that can improve the rate of drug discovery and development.
solution

Solution

  • Our AI-based solution will help in collecting data from the relevant sources, without human intervention or manual efforts.
  • The solution can help in bringing accurate research results and making predictions for the betterment of drug discovery and development.
  • The solution can also help to reduce the cost of drug development by providing valuable insights by analyzing the collected data.
  • Our solution can do risk analysis of success and failure of drugs and thus, will help in controlling drug discovery time to a great extent.
  • Our solution is powered by artificial intelligence, which is the most advanced technology to predict whether the drug will be successful or not. In other words, the AI-based solution can define the success ratio of the drug.
result

Results

  • Reduced Drug Discovery Failure Rate

    One of the biggest reasons behind the failure of drug discovery is the lack of research; this AI-integrated solution helped to resolve this problem by performing data analysis and pattern search from clinical trials, a combination of compounds, and other researches.

  • Precision in Drug Discovery

    Using AI techniques, such as content-based filtering, pattern search, NLP, collaborate filtering, and more, our solution assisted in getting accurate data for drug discovery.

  • Reduced Drug Discovery and Research Time

    Time spent on researching and discovery for a drug can increase the cost, but, our AI-based solution can efficiently handle the big data to bring out the statistical analysis that further help in discovering a drug in a short time.

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