Clinical trials for cancer treatment

AI-powered clinical trial matching for your oncology patients

Instantly identify actively recruiting trials for Follicular Lymphoma, Multiple Myeloma, and Breast Cancer—personalized to your patient’s diagnosis and treatment history.

Start your search today

Sign up for CancerBot today and start matching your patients to trials that actually fit.

Clinical trials for cancer treatment

AI-powered clinical trial matching for your oncology patients

Instantly identify actively recruiting trials for Follicular Lymphoma, Multiple Myeloma, and Breast Cancer—personalized to your patient’s diagnosis and treatment history.

Start your search today

Sign up for free, share your treatment details and get matched with potential trials in minutes.

Clinical trials for cancer treatment

AI-powered clinical trial matching for your oncology patients

Instantly identify actively recruiting trials for Follicular Lymphoma, Multiple Myeloma, and Breast Cancer—personalized to your patient’s diagnosis and treatment history.

Start your search today

Sign up for free, share your treatment details and get matched with potential trials in minutes.

Your patients deserve every option. Finding them shouldn’t slow you down.

Cancer care is getting more complex. Clinical trials shouldn’t be harder to find
than the disease itself.

CancerBot helps physicians quickly identify relevant, actively recruiting clinical trials for their patients — without spending hours navigating ClinicalTrials.gov or relying on incomplete referral networks.

Built for the way physicians actually work

Whether you’re a GP, community oncologist, or academic specialist, CancerBot fits naturally into your workflow. Just clear, precise matches — tailored to your patient.

No trial-hunting

No eligibility guesswork

No endless PDFs

Who CancerBot Is For

General Practitioners

You’re often the first point of contact

You want to know when a trial might be appropriate

You don’t have time to read full protocols

CancerBot helps you identify when a patient should be referred — and where.

Oncologists & Hematologists

You manage FL, MM, and BC across multiple lines of therapy

Trials are increasingly biomarker-driven and complex

Missing the right trial can mean missing the best option

CancerBot surfaces trials you’d never find through keyword search alone.

Why CancerBot is different

Why CancerBot is different

Most trial finders rely on keywords. CancerBot understands biology, eligibility logic, and treatment history. CancerBot matches patients based on:

Most trial finders rely on keywords. CancerBot understands biology, eligibility logic, and treatment history. CancerBot matches patients based on:

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

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

Line of therapy

Line of therapy

Prior treatments and refractoriness

Prior treatments and refractoriness

Biomarkers and lab thresholds

Biomarkers and lab thresholds

Trial intent (front-line, relapse, refractory)

Trial intent (front-line, relapse, refractory)

The result: fewer false matches, fewer dead ends, and faster decisions.

The result: fewer false matches, fewer dead ends, and faster decisions.

Focused on high-impact diseases

CancerBot currently prioritizes:

Follicular Lymphoma (FL)

Follicular Lymphoma (FL)

  • Bispecific antibodies

  • Novel combinations

  • Post-anti-CD20 / post-CAR-T options

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

Multiple Myeloma (MM)

Multiple Myeloma (MM)

  • CAR-T (single & dual-target)

  • Bispecifics

  • Early-line and heavily pretreated trials

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

Breast Cancer (BC)

Breast Cancer (BC)

  • Biomarker-driven studies

  • Subtype-specific trials

  • Precision oncology approaches

Biomarker-driven studies
Subtype-specific trials
Precision oncology approaches

Why this matters for patients

Why this matters for patients

Many eligible patients never enroll in a clinical trial — not because trials don’t exist, but because:

Many eligible patients never enroll in a clinical trial — not because trials don’t exist, but because:

The right trial wasn’t found in time

The right trial wasn’t found in time

Eligibility was too complex to assess quickly

Eligibility was too complex to assess quickly

The trial was outside the clinician’s immediate network

The trial was outside the clinician’s immediate network

CancerBot closes that gap.

CancerBot closes that gap.

What you get when you sign up

What you get when
you sign up

Most trial finders rely on keywords. CancerBot understands biology, eligibility logic, and treatment history. CancerBot matches patients based on:

Most trial finders rely on keywords. CancerBot understands biology, eligibility logic, and treatment history. CancerBot matches patients based on:

Curated, actively recruiting trials

Curated, actively recruiting trials

Clear eligibility summaries

Clear eligibility summaries

Reduced screening burden

Reduced screening burden

Faster referrals

Faster referrals

Better options for complex cases

Better options for complex cases

All without changing how you practice medicine.

All without changing how you practice medicine.

Designed for trust, built for scale

No ads. No trial “promotion.” Just relevance and accuracy. CancerBot is designed with:

Designed for trust, built for scale

No ads. No trial “promotion.” Just relevance and accuracy. CancerBot is designed with:

Designed for trust, built for scale

No ads. No trial “promotion.” Just relevance and accuracy. CancerBot is designed with:

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.

Help your patients access better options

Sign up for CancerBot today and start matching your patients to trials that actually fit.

Help your patients access better options

Sign up for CancerBot today and start matching your patients to trials that actually fit.

Help your patients access better options

Sign up for CancerBot today and start matching your patients to trials that actually fit.