Molecular profiling means looking closely at cancer cells to find out about their genes and proteins. Doctors use this information to make treatments just for each patient’s cancer. It helps find special changes in the cancer’s makeup.
One company called Tempus has made an AI-powered tool used by many doctors and medical centers in the U.S. This tool combines large amounts of genetic information and patient data. It helps match patients with the best treatments and clinical trials using advanced gene sequencing.
Tempus’ xT platform is an example that works better than older DNA tests. It checks both the cancer and normal tissue, as well as gene activity, to give a full picture of the cancer’s genetics. This helps doctors pick treatments that fit the patient’s cancer more closely.
Tempus also created the xM test, which is a liquid biopsy that looks at tumor markers in the blood. It helps track how patients respond to immune therapies in advanced cancers. This test shows if the treatment is working in real time, so doctors can change plans faster if needed.
Traditional biopsies require surgery to get tumor tissue, which can be hard for some patients. Liquid biopsy uses blood or other body fluids instead. It finds cancer cells or pieces of cancer DNA floating in the blood. This is easier to do repeatedly for ongoing checks.
The National Cancer Institute in the U.S. supports research on these liquid biopsies. They work on very sensitive tests that detect DNA, RNA, and proteins using new techniques like digital droplet assays and CRISPR. These tests help get a clearer view of the cancer and how treatments are working.
Liquid biopsy is very helpful in finding tiny amounts of leftover cancer cells after treatment, called minimal residual disease (MRD). This early detection helps doctors predict if cancer might come back and decide on the next steps for care.
Researchers are working to make sure all labs use the same ways to collect and analyze samples. This standardization helps make liquid biopsy tests more reliable for everyday use in clinics.
Circulating tumor cells are cancer cells that have broken away from the main tumor and entered the bloodstream. Studying these cells gives information about how the tumor is changing and if it can spread or resist treatment.
Better technology now lets scientists find and study these cells more carefully. Tools like microfluidics, nanotech, and gene sequencing separate and analyze CTCs in detail. Other tests like digital PCR measure them precisely in the blood.
Combining different types of data—from genes, RNA, and proteins—gives a clear picture of the tumor’s behavior. This helps doctors pick treatments, including immunotherapy, and watch how the tumor changes over time.
Research by Thanmayi Velpula and Viswanath Buddolla shows that mixing AI with these methods can help make cancer care more exact. They say these methods may become common once testing and data issues are solved.
Artificial intelligence (AI) is useful for handling large sets of cancer and patient data. AI looks at genetic information, medical history, and real-time results to help doctors make decisions.
Tempus uses AI tools that work with electronic health records (EHR). Their system, Tempus One, lets doctors search big data quickly and customize aids for decision-making. This saves time and reduces errors.
AI also helps build new tests, like in the Tempus Fuses program. This program uses machine learning to find new treatment targets and match patients to clinical trials faster.
For hospital staff and IT managers, using AI tools can make work faster and easier by automating routine data tasks. This helps care teams get important information without extra work.
Molecular profiling and liquid biopsy offer new chances but also bring challenges for hospitals and clinics. Many centers and doctors already use platforms like Tempus, showing growing trust in these tools.
IT managers need to make sure patient data is kept safe. They must create strong security and link different digital systems smoothly. This protects patient privacy while letting doctors access data when needed.
Administrators should also plan for training staff, working with labs, and managing payment or insurance rules. Together, clinical teams, labs, and IT staff must work well to use these technologies smoothly.
Even though liquid biopsy and molecular profiling have promise, they need approval from regulatory agencies before widespread use. It is important that test methods are consistent and accurate.
The National Cancer Institute helps bring together experts and regulators to set standards and share information.
The FDA in the U.S. reviews and approves these tests, focusing on those proven reliable and helpful for patient care. Practice leaders should watch for these updates to stay compliant.
Using molecular profiling, liquid biopsy, and AI tools together can help many more patients get precise cancer care. AI can quickly find patients who might benefit from special treatments or clinical trials.
Tempus has helped connect over 30,000 patients to clinical trials by combining AI and molecular data. This progress makes finding new treatments easier.
These tools also allow smaller or rural clinics to offer up-to-date cancer care by providing sophisticated data analysis without needing many specialists on-site.
Practice leaders and IT managers should see molecular profiling and liquid biopsy as part of modern cancer care. These tools help by:
To succeed, hospitals need teams from different areas working together, upgrades in IT, good lab partnerships, and ongoing staff training. Knowing what these new tools can and cannot do will help provide better cancer care for patients across the U.S.
By keeping up with these changes, hospital leaders, practice owners, and IT managers can guide their facilities in using molecular diagnostics and automated technologies in cancer care.
AI accelerates the discovery of novel targets, predicts treatment effectiveness, identifies life-saving clinical trials, and diagnoses multiple diseases earlier, enhancing personalized patient care through advanced data analysis and algorithmic insights.
Tempus provides an AI-enabled assistant that helps physicians make more informed treatment decisions by analyzing multimodal real-world data and identifying personalized therapy options.
Tempus supports pharmaceutical and biotech companies with AI-driven drug development, leveraging extensive molecular profiling, clinical data integration, and algorithmic models to optimize therapeutic strategies.
The xT Platform combines molecular profiling with clinical data to identify targeted therapies and clinical trials, outperforming tumor-only DNA panel tests by using paired tumor/normal plus transcriptome sequencing.
It uses neural-network-based, high-throughput drug assays with light-microscopy to predict patient-specific drug response heterogeneity across various solid cancers, improving treatment personalization.
Liquid biopsy assays complement tissue genotyping by detecting actionable variants that might be missed otherwise, providing a more comprehensive molecular and clinical profiling for patients.
~65% of US Academic Medical Centers and over 50% of US oncologists are connected to Tempus, enabling wide adoption of AI-powered sequencing, clinical trial matching, and research partnerships.
Tempus One is an AI-enabled clinical assistant integrated into the Electronic Health Record (EHR) system, allowing custom query agents to maximize workflow efficiency and streamline access to patient data.
xM is a liquid biopsy assay designed to monitor molecular response to immune-checkpoint inhibitor therapy in advanced solid tumors, offering real-time treatment response assessment.
Fuses combines Tempus’ proprietary datasets and machine learning to build the largest diagnostic platform, generating AI-driven insights and providing physicians a comprehensive suite of algorithmic tests for precision medicine.