Related Experiment Video

Updated: Apr 4, 2026

Ex Vivo Treatment Response of Primary Tumors and/or Associated Metastases for Preclinical and Clinical Development of Therapeutics
08:29

Ex Vivo Treatment Response of Primary Tumors and/or Associated Metastases for Preclinical and Clinical Development of Therapeutics

Published on: October 2, 2014

15.3K

AI for clinical trials in oncology

E Cerami1, I B Riaz2, K L Kehl1

  • 1Dana-Farber Cancer Institute, Boston, USA.

ESMO Real World Data and Digital Oncology
|April 3, 2026
PubMed

Insights

Artificial intelligence (AI) is advancing oncology clinical trials. AI applications cover drug design, risk assessment, patient-trial matching, and eligibility screening to improve trial efficiency.

Area of Science:

  • Oncology
  • Artificial Intelligence
  • Clinical Trials

Background:

  • Clinical trials are crucial for developing new cancer therapies.
  • Integrating artificial intelligence (AI) offers potential to optimize trial processes.
  • Current AI applications in oncology trials are rapidly evolving.

Purpose of the Study:

  • To provide a comprehensive overview of recent advancements in AI applications for oncology clinical trials.
  • To categorize AI applications into four key areas for clarity.
  • To highlight the potential impact of AI on trial efficiency and patient outcomes.

Main Methods:

  • This perspective summarizes recent developments in AI for oncology clinical trials.
  • The review is structured around four primary application areas.
  • Key areas include AI-driven drug design, risk assessment, trial matching, and eligibility screening.

Main Results:

  • AI is being applied to accelerate drug design and discovery in oncology.
  • AI models show promise in predicting the safety and efficacy of novel therapy candidates.
  • AI facilitates improved patient-trial matching and streamlines eligibility screening processes.

Conclusions:

  • Artificial intelligence is transforming multiple facets of oncology clinical trials.
  • AI applications have the potential to enhance trial success rates and patient access to innovative treatments.
  • Continued development and integration of AI are expected to further revolutionize cancer research and clinical practice.
Keywords:
AI

More Related Videos

Pre-clinical Evaluation of Tyrosine Kinase Inhibitors for Treatment of Acute Leukemia10:49

Pre-clinical Evaluation of Tyrosine Kinase Inhibitors for Treatment of Acute Leukemia

Published on: September 18, 2013

18.8K
Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

8.1K

Related Concept Videos

Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
11.2K
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
5.4K
Treatment Resistent Cancers02:56

Treatment Resistent Cancers

1.5K
Treatment Resistant Cancers02:56

Treatment Resistant Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.9K
Cancer Therapies02:49

Cancer Therapies

3.0K
Cancer Therapies02:49

Cancer Therapies

Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
10.6K