Nonagen Bioscience Corp. received FDA breakthrough device designation for its liquid biopsy assay designed to predict response to treatment for bladder cancer. The test, Oncuria, measures 10 protein biomarkers in a urine sample and uses an algorithm to predict whether patients will respond to Bacillus Calmette-Guerin (BCG), the first-line treatment for bladder cancer, or should proceed to another treatment option.
The FDA granted de novo marketing authorization for Paige Prostate, artificial intelligence (AI)-driven software that improves detection of prostate cancer. The clinical study submitted to the FDA demonstrated that using Paige Prostate resulted in a 7% improvement in sensitivity in correctly diagnosing cancer, increasing from 89.5% to 96.8%.
Although targeted therapies are prescribed on the basis of a patient's molecular makeup, they do not work every time. And in those instances where they do work, they basically stop working every time. In response, researchers have developed a number of systems whose goal it is to predict which drugs will be effective for an individual patients.
Prophet, Oncohost Ltd.’s artificial intelligence-driven proteomics profiling platform, predicted response to immune checkpoint inhibitor (ICI) therapy in non-small-cell lung carcinoma (NSCLC) patients in a study presented at the European Society for Medical Oncology Virtual Congress 2021. While ICI can generate a significant positive response in some patients with advanced NSCLC, in others the therapy promotes tumor growth, making identification of likely responders prior to treatment critical.
Researchers have retrospectively divided more than 16,000 non-small-cell lung cancer (NSCLC) patients with EGFR mutations into four structure-based subgroups, and looked at how the members of each subgroup fared depending on which EGFR inhibitor they were given.
PERTH, Australia – After raising AU$20 million (US$14.62 million) in a series A round, serial entrepreneur Paul Hopper is unveiling his newest venture, Radiopharm Theranostics Ltd., which is developing a platform of radiopharmaceutical and nuclear medicine products for both diagnostic and therapeutic uses.
DUBLIN – Allarity Therapeutics A/S plans to file an NDA with FDA for dovitinib in renal cell carcinoma (RCC) in the fourth quarter this year, after unveiling a new analysis at the European Society for Molecular Oncology’s virtual congress, which suggest that its companion diagnostic, DRP, can identify patients who obtain a survival benefit from the therapy.
Three is the magic number for Finnish companies Abacus Diagnostica Oy, Kaivogen Oy and Labrox Oy as they link up to develop a new diagnostic solution combining antibody and PCR testing on a single device. The three Turku, Finland-based companies said they are joining forces to form a new diagnostics powerhouse, harnessing their own unique expertise. Abacus Diagnostica develops molecular testing and rapid PCR tests while Kaivogen specializes in immunoassays and antibody tests and Labrox on laboratory instruments. All companies have previously collaborated on R&D projects.
Startup company Medial Earlysign Ltd. and Roche Diagnostics International Ltd. are teaming up to bring to market artificial intelligence (AI) solutions for early detection of cancer. Founded in 2013, Tel Aviv-based Medial Earlysign uses machine learning tools to flag patients with a high probability of developing specific illnesses. The partnership with Roche will initially focus on gastric cancer.
Lunit Inc. won an innovative medical device designation from South Korea’s Ministry of Food and Drug Safety (MFDS). The designation was for Lunit Insight MMG, its commercial artificial intelligence (AI) solution for breast cancer detection from mammography images. The company said that Lunit Insight MMG is now the first medical device of its type to receive the designation, and the company now has its second innovative medical device designation. “All of our commercialized products are now designated innovative medical devices by the MFDS. We will ensure that our Lunit Insight AI products allow medical staff to rapidly and accurately diagnose patients,” said Beomseok Suh, CEO at Lunit.