Clinical trials for cancer treatment

Accelerate accrual with high-precision patient referrals

CancerBot connects your clinical trial with pre-qualified patients—matched precisely to your protocol’s eligibility criteria—so you can focus on advancing science, not screening failures.

See who is interested in your trials

Sign up for CancerBot today and review your qualified candidates.

Clinical trials for cancer treatment

Accelerate accrual with high-precision patient referrals

CancerBot connects your clinical trial with pre-qualified patients—matched precisely to your protocol’s eligibility criteria—so you can focus on advancing science, not screening failures.

See who is interested in your trials

Sign up for CancerBot today and review your qualified candidates.

Clinical trials for cancer treatment

Accelerate accrual with high-precision patient referrals

CancerBot connects your clinical trial with pre-qualified patients—matched precisely to your protocol’s eligibility criteria—so you can focus on advancing science, not screening failures.

See who is interested in your trials

Sign up for CancerBot today and review your qualified candidates.

Why you’re receiving CancerBot referrals

CancerBot partners with hospitals, patient-advocacy groups, and digital oncology platforms that help patients navigate treatment options. When our platform identifies that a patient fits your study’s inclusion/exclusion logic, we alert them and—with their consent—refer them to your research team.

You receive patients who are:

Biomarker-matched

Diagnosis-verified

Stage, line-of-therapy, and prior-treatment matched

Ready for screening and motivated to participate

No more high-volume, low-yield referrals. We send only qualified candidates.

For privacy and compliance reasons, access to detailed patient-level data is available only after a contract with CancerBot is in place.

How CancerBot increases your trial’s enrollment velocity

CancerBot currently prioritizes:

Protocol-Level Matching

Protocol-Level Matching

Your protocol is translated into a structured eligibility model (EXACT). We match patients using:

  • Diagnostics

  • Biomarkers (NGS, FISH, IHC)

  • Staging

  • Prior and current therapies

  • ECOG, labs, comorbidities

  • Burden and distance suitability

Bispecific antibodies
Novel combinations
Post-anti-CD20 / post-CAR-T options

Patient Readiness Screening

Patient Readiness Screening

Before a match is sent:

  • Clinical context is verified

  • Trial alternatives are discussed

  • Patients are supported through decision-making

This ensures your site receives patients who truly intend to enroll.

CAR-T (single & dual-target)
Bispecifics
Early-line and heavily pretreated trials

Intelligent Referrals

Intelligent Referrals

For each referred patient you receive:

  • Key eligibility-matching attributes

  • Rationale for match

  • Distance to site

  • ECOG and treatment history summary

  • Contact preferences (per consent)

Your coordinators spend less time triaging and more time enrolling.

Biomarker-driven studies
Subtype-specific trials
Precision oncology approaches

Trusted by patients.
Designed for researchers.

Trusted by patients.
Designed for researchers.

CancerBot is built with:

CancerBot is built with:

Transparent matching logic

Disease subtype
(e.g. FL vs transformed disease)

Full patient consent workflows

Full patient consent workflows

Secure data handling (HIPAA/GDPR compliant)

Secure data handling (HIPAA/GDPR compliant)

Zero influence on randomization or study conduct

Zero influence on randomization or study conduct

Patients remain in complete control; your team receives only actionable information.

Patients remain in complete control; your team receives only actionable information.

Trusted by patients.
Designed for researchers.

CancerBot is built with transparent matching logic, full patient consent workflows, secure data handling (HIPAA/GDPR compliant) and zero influence on randomization or study conduct. Patients remain in complete control; your team receives only actionable information.

Trusted by patients.
Designed for researchers.

CancerBot is built with transparent matching logic, full patient consent workflows, secure data handling (HIPAA/GDPR compliant) and zero influence on randomization or study conduct. Patients remain in complete control; your team receives only actionable information.

Trusted by patients.
Designed for researchers.

CancerBot is built with transparent matching logic, full patient consent workflows, secure data handling (HIPAA/GDPR compliant) and zero influence on randomization or study conduct. Patients remain in complete control; your team receives only actionable information.

What researchers say

“CancerBot’s referrals have significantly improved the quality of our screening pool. Our team now spends time with the right patients, not sifting through ineligible charts.”

“The structured eligibility model is a game changer—its accuracy and clarity help us understand precisely why a patient was referred.”

Your study.
More eligible patients.
Faster.

Your study.
More eligible patients.
Faster.

Whether you are a principal investigator, sponsor, CRO enrollment lead or cooperative group site, CancerBot helps your trial reach its accrual targets faster—without added burden on your staff.

Whether you are a principal investigator, sponsor, CRO enrollment lead or cooperative group site, CancerBot helps your trial reach its accrual targets faster—without added burden on your staff.

About CancerBot

Turning frustration into innovation

After being diagnosed with follicular lymphoma, AI tech entrepreneur Adam Blum assumed he could easily find cutting-edge treatment options. Instead, he faced resistance from doctors and an exhausting search process. Determined to fix this, he built CancerBot—an AI-powered tool that makes clinical trials more accessible, helping patients find potential life-saving treatments faster.

About CancerBot

Turning frustration into innovation

After being diagnosed with follicular lymphoma, AI tech entrepreneur Adam Blum assumed he could easily find cutting-edge treatment options. Instead, he faced resistance from doctors and an exhausting search process. Determined to fix this, he built CancerBot—an AI-powered tool that makes clinical trials more accessible, helping patients find potential life-saving treatments faster.

About CancerBot

Turning frustration into innovation

After being diagnosed with follicular lymphoma, AI tech entrepreneur Adam Blum assumed he could easily find cutting-edge treatment options. Instead, he faced resistance from doctors and an exhausting search process. Determined to fix this, he built CancerBot—an AI-powered tool that makes clinical trials more accessible, helping patients find potential life-saving treatments faster.

See who has signed up to your trial

Sign up for CancerBot today and review your qualified candidates.

See who has signed up to your trial

Sign up for CancerBot today and review your qualified candidates.

See who has signed up to your trial

Sign up for CancerBot today and review your qualified candidates.