Is there a Clinical Trial for You? Introducing Recommend Tx.

The process of finding a clinical trial is akin to navigating a maze of medical jargon and databases. For patients without a medical background, understanding the intricacies of these trials can be a daunting task. The sheer volume of information available online can be overwhelming, making it difficult to discern which trials are relevant to their specific condition. The risk of information overload is very real and can lead to confusion and frustration. 

Especially for patients with advanced or aggressive cancers, time is of the essence. Finding, qualifying for, and enrolling in a clinical trial can be time-consuming. Every moment counts, and delays in this process may impact the effectiveness of potential treatments. 

Without access to advanced tools or algorithms, patients may find it challenging to locate trials tailored to their unique medical profile. Recognising this, Oncoshot has developed Recommend Tx, a ground-breaking Large Language Model (LLM) AI feature designed to interpret free-text cancer information to match cancer patients with high-value clinical trials relevant to them. This breakthrough brings personalised care one step closer.  

Recommend Tx possesses an impressive capacity to understand clinical data, medical terminology, and genetic information, and even adeptly handles multiple languages. This modern LLM excels at discerning intricate connections between medical terms and structured data (such as biomarkers, diagnoses, cancer stages, and more). This cutting-edge technology heralds a new era, granting access to previously untapped reservoirs of unstructured medical records, including electronic medical records (EMRs). Shockingly, around 80% of medical information remains unstructured and beyond direct analysis, leading to its underutilisation. 

Using Recommend Tx, it’s now as simple as typing in one or two sentences about your cancer details in free text. Patients may refer to the latest clinical summary provided by their primary oncologist for these cancer details, simply omit any personal information. Previously, accessing relevant trials required navigating a complex form on the Oncoshot platform to build a patient profile, a process that could pose a challenge even for medical professionals.

Follow these three simple steps to receive high-value clinical trial recommendations:

1. Enter information about your cancer condition (such as cancer diagnosis, stage, cancer medications, mutations, etc.) in the text box and click "submit". Do not enter any personal information.

2. Our advanced LLM AI will analyse and structure the provided information, allowing our matching algorithm to find relevant trials for you.

3. Review the trials with the highest matching scores with your oncologist. Contact the trial sites or sponsors to enrol in a trial.

Empowering patients with knowledge and simplifying their journey towards potential life-changing treatments are at the heart of what we do at Oncoshot. With Recommend Tx, we're not just breaking down language barriers, but also bridging the gap between patients, caregivers, and the wealth of clinical trial opportunities available. Discover the clinical trial for you here.