Functional Precision Medicine Leads to Better Cancer Treatments
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Corinna Singleman
11h ago
Researchers at Florida International University and First Ascent Biomedical have used an artificial intelligence (AI)-powered, functional precision medicine (FPM) platform to identify unique therapeutic treatment options for children with relapsed cancer diagnoses. They published their study, “Feasibility of Functional Precision Medicine for Guiding Treatment of Relapsed or Refractory Pediatric Cancers,” in Nature Medicine. The study involved 25 initial patients with relapsed solid or blood-based cancers. Each patient underwent drug sensitivity testing (DST) and genomic profiling and 19 who co ..read more
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Urine-Based Prostate Cancer Test Promises to Reduce Unnecessary Biopsies
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Alisa Kirkin
11h ago
Researchers at the University of Michigan Rogel Cancer Center have announced the development of a novel urine-based test named MyProstateScore2.0 (MPS2), aiming to revolutionize the diagnosis of prostate cancer by identifying high-grade cancers that require immediate intervention. Reporting in JAMA Oncology, the new test could significantly decrease the number of unnecessary biopsies performed each year. Prostate cancer, one of the most common types of cancer among men, is often detected via prostate-specific antigen (PSA) testing. However, the PSA test has been criticized for its inability to ..read more
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Japanese Genomes Reveal Disease-Related Ancestry
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Anita Chakraverty
12h ago
Sequencing thousands of whole genomes has challenged established views on the origins of Japanese people and traced disease-related genetic variants to ancient relatives of modern humans. The comprehensive genetic dataset has enabled researchers to delve into unexplored territory regarding the Japanese population and its genetic makeup. Whole-genome sequencing (WGS) people from seven regions identified triancestral origins for the modern Japanese, countering traditional ideas that they are descended from two groups, first the Jomon people and later the Yayoi people. Instead, the findings show ..read more
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AI That Predicts Targeted Cancer Drug Response with Single-Cell Precision
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Malorye Branca
12h ago
Machine learning and transcriptomics have been combined to create a computational pipeline to systematically predict patient response to cancer drugs, including resistance emergence, at single-cell resolution. The researchers who built the pipeline, PERCEPTION, say this is the first of its kind. It is not yet “clinic ready,” but they hope that by encouraging more groups to use it, the model will become more robust and better validated. Their study was published in Nature Cancer. The first author is Sanju Sinha, PhD, of the Cancer Molecular Therapeutics Program at Sanford Burnham Prebys. The se ..read more
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NCCN and Flatiron Health Extend Collaboration to Improve Cancer Care Quality with Real-World Data
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Malorye Branca
1d ago
With the aim of bringing more real world data to cancer care, Flatiron Health and the National Comprehensive Cancer Network (NCCN) have renewed their collaboration to allow more cancer centers access to Flatiron’s curated data sets, and thus better evaluate and enhance the quality of care given at their sites. The collaboration between the two groups dates back to 2014, when Flatiron Health first launched a cloud-based repository of NCCN Member Institution data—the NCCN Outcomes Database.  “We strive to ensure that everyone, everywhere, is able to access high-quality cancer care based on ..read more
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Mayo Clinic’s Hypothesis-Driven AI Can Improve Treatment Strategies
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Chris Anderson
1d ago
A new class of artificial intelligence (AI) called hypothesis-driven AI, invented recently by Mayo Clinic researchers, offers an innovative way to discover the complex causes of cancer and improve treatment strategies. The team notes that conventional AI is used primarily for classification and recognition, such as facial recognition, or providing imaging classification in diagnosis, while also being increasingly used for generative applications like creating text. However, many of the algorithms associated with these conventional tasks often fail to include existing knowledge or hypotheses, r ..read more
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Tetracycline Antibiotics Pinpoints Targets for Novel Cancer Immunotherapies
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Christina Jackson
1d ago
Scientists are seeking new ways to develop immunotherapies with different targets especially for patients with these cancers don’t respond to immune checkpoint inhibitors. Now, researchers from Osaka University report that tetracycline antibiotics help the immune system find cancer cells in a way that is different from current immunotherapies. The researchers hope their findings will lead to the development of new drugs that target different immune pathways. The results of their study were published in the Journal for ImmunoTherapy of Cancer in an article titled, “Tetracyclines enhance anti-tu ..read more
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The Use of Artificial Intelligence in Lung Cancer Management
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Kathy Vuksanaj
1d ago
By Pranali Pachika, Srijan Valasapalli, Phuong Ngo, and Goetz Kloecker “Artificial intelligence” (AI) is the study and production of computing methods and models that replicate human intelligence in perception, speech recognition, decision making, and language processing.1 AI is utilized in oncology to improve cancer diagnosis, treatment planning, and patient outcomes by analyzing massive volumes of data from a variety of sources, including imaging scans, electronic health records, and genomic profiles.2,3 In 1956, John McCarthy coined the term “Artifici ..read more
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AI Algorithm Could Reduce Breast Cancer Mammogram False Positive Rate
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Alice McCarthy
1d ago
A retrospective study led by researchers at Washington University School of Medicine in St. Louis and Whiterabbit.ai showed that an artificial intelligence (AI)-based protocol theoretically reduced the number of false positive results from routine mammograms. The study is published in Radiology: Artificial Intelligence. Acknowledging that many AI-based studies in breast cancer focus on improving breast cancer detection, the team created an algorithm designed to reduce the number of callbacks, biopsies, and, ultimately, false negative results from routine mammograms. “One of the big concerns in ..read more
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Scopio Labs Receives FDA Clearance For AI-Driven Bone Marrow Analysis Application
Clinical OMICs – Molecular Diagnostics in Precision Medicine
by Helen Albert
1d ago
Scopio Labs, an imaging and analysis focused medtech company based in Israel, have received De Novo FDA clearance for its artificial intelligence (AI)-driven bone marrow aspirate analysis software. Bone marrow samples are important for diagnosing a range of different blood disorders such as different blood cancers, but standard methods of analyzing these samples are time consuming and rely on the skills, knowledge and in-person presence of trained hematopathologists to ensure accuracy. Scopio produces two machines, one designed for smaller labs and lower throughput and a higher throughput mach ..read more
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