Current prostate cancer (PCa) screening protocols typically begin with prostate-specific antigen (PSA) testing, which, if elevated, may lead to further assessment using multiparametric magnetic resonance imaging (mpMRI). Now, a cost-effectiveness analysis has revealed that using biparametric magnetic resonance imaging (bpMRI) as an initial screening tool is less cost-effective than the traditional approach of first-line PSA testing followed by mpMRI. This conclusion held true even when assuming no cost for bpMRI, indicating that the financial savings do not compensate for the drawbacks of using the first-line MRI approach. A team of researchers from Fred Hutchinson Cancer Center (Seattle, WA, USA), in collaboration with other institutions, developed a microsimulation model to compare the effectiveness and cost-efficiency of first-line bpMRI versus first-line PSA with reflex mpMRI for prostate cancer screening. The study showed that initiating screening with MRI significantly increased the incidence of false positives, unnecessary prostate biopsies, and overdiagnoses, without a corresponding ...
A computer program powered by artificial intelligence (AI) and trained on nearly half a million tissue images can effectively diagnose cases of adenocarcinoma, the most prevalent type of lung cancer. The computer program developed and tested by researchers at NYU Langone Health (New York, NY, USA) provides an unbiased, detailed, and reliable second opinion for patients and oncologists regarding the presence of the cancer and the possibility and timing of its return, also known as its prognosis. This is because the program incorporates structural features of tumors from 452 adenocarcinoma patients, who are among the more than 11,000 patients in the U.S. National Cancer Institute’s Cancer Genome Atlas. Importantly, the program operates independently and is “self-taught,” deciding by itself which structural features are most critical for assessing the severity of the disease and its impact on tumor recurrence. In their research, the algorithm, known as histomorphological phenotype learning (HPL), successfully ...
Don Tracy, Associate Editor The cobas is classified as a four-in-one molecular test that can identify SARS-CoV-2, influenza A, influenza B, and respiratory syncytial virus from a single nasopharyngeal or anterior nasal swab sample. The FDA has granted Emergency Use Authorization (EUA) to Roche’s cobas liat SARS-CoV-2, Influenza A/B & respiratory syncytial virus (RSV) nucleic acid test. According to the company, it is a four-in-one molecular test, defined as an automated multiplex RT-PCR assay that can detect SARS-CoV-2, influenza A, influenza B, and RSV from a nasal swab sample. Additionally, Roche reported that full results can be expected in 20 minutes via a compact analyzer.1 “Diagnostics play a critical role in the fight against respiratory illness,” said Matt Sause, CEO, Roche Diagnostics, in a press release. “We are proud to provide this innovative test to address the significant burden placed on healthcare systems. Now, healthcare professionals will be able to ...
Avidity Biosciences’ RNA therapy for facioscapulohumeral muscular dystrophy has preliminary clinical data showing it knocked down expression of a gene that causes this rare disease. More details will be presented at a medical conference this week. By Frank VinluanAn experimental RNA therapy from Avidity Biosciences has early clinical trial results showing it reduced by half the expression of a gene at the root of a rare, inherited form of muscular dystrophy with no FDA-approved therapies. Furthermore, patients in the study are showing signs of regaining muscle function. Based on these initial results announced Wednesday, Avidity said it plans to accelerate the start of additional cohorts in the Phase 1/2 study that could support an application seeking regulatory approval in this disease, facioscapulohumeral muscular dystrophy (FSHD). More details about the data are coming soon. Avidity plans to present the preliminary results during the Annual FSHD Society International Research Congress meeting, which ...
Lucy Therapeutics (LucyTx) has announced it has raised $12.5m in additional funding to develop potentially new drugs and advance the company’s research programmes for neurological diseases. The funding, provided by existing investors, Engine Ventures and Safar Partners, with recent participation from the Bill & Melinda Gates Foundation, the Michael J. Fox Foundation and £1.6m from Parkinson’s UK’s Biotech programme, brings the company’s total funding to $36m. The new project aims to develop novel therapies that are based on mitochondrial small-molecule treatments and diagnostic biomarkers for Alzheimer’s (AD) and Parkinson’s disease (PD), as well as continue the development of a novel drug target for Rett syndrome, a rare genetic neurological and developmental disorder that affects brain development. AD and PD are the two most common neurodegenerative diseases worldwide, affecting around 24 million and ten million people, respectively. Using LucyTx’s platform, the team will analyse a variety of disease drivers central to ...
Researchers from the Johns Hopkins Kimmel Cancer Center and other institutions have developed and validated a liquid biopsy test using artificial intelligence (AI) to help identify lung cancer earlier. The new study published in Cancer Discovery demonstrated that the new blood test could help accelerate lung cancer screening while reducing death rates. Currently the leading cause of global cancer incidence and death worldwide, lung cancer accounts for an estimated two million diagnoses and 1.8 million deaths annually. For the last five years, researchers have developed a test to detect patterns of DNA fragments found in patients with lung cancer. Participants with and without cancer who met the criteria for low-dose computed tomography (CT) were recruited to receive the blood test to determine which patients were most at risk and would benefit from a follow-up CT screening to help overcome issues regarding appointments, such as the time it takes to arrange ...
On June 7, Chiatai Tianqing Pharmaceutical Group and China Resources Pharmaceutical Commercial signed a strategic cooperation agreement in Tianjin. Based on the principle of resource sharing, complementary advantages and common development, the two parties will carry out in-depth cooperation in the fields of pharmaceutical research and development, production, sales and circulation, and jointly help the sustainable development of China’s pharmaceutical industry. Chiatai Tianqing’s commercial director Qi Tianze and CR Pharmaceuticals Commercial Deputy General Manager Dong Hao signed the agreement on behalf of the two parties. As one of the leading pharmaceutical companies in China, Chiatai Tianqing has always been committed to researching and developing innovative drugs, improving drug quality and meeting patients’ needs. With strong R&D strength and market competitiveness, the company has won wide recognition and trust. As an important pillar industry of China Resources Group, China Resources Pharmaceutical Commercial has a comprehensive pharmaceutical distribution network and market channels, ...
SAN FRANCISCO and SUZHOU, China, June 13, 2024 /PRNewswire/ — Innovent Biologics, Inc. (“Innovent”) (HKEX: 01801), a world-class biopharmaceutical company that develops, manufactures and commercializes high-quality medicines for the treatment of oncology, cardiovascular and metabolic, autoimmune, ophthalmology and other major diseases, announced that the U.S. Food and Drug Administration (FDA) has granted Fast Track Designation to its TOPO1i anti-CLDN18.2 ADC (R&D code: IBI343), for the treatment of advanced unresectable or metastatic pancreatic ductal adenocarcinoma (PDAC) that has relapsed and/or is refractory to one prior line of therapy. Previously, IBI343 has already received FDA approval of its IND application for the treatment of PDAC. At the ASCO 2024 Annual Meeting, Innovent reported the preliminary Phase 1 results of IBI343 in advanced PDAC patients who have received at least one prior line of treatment. In the 6 mg/kg dose group, among the 10 evaluable PDAC patients with CLDN18.2 1/2/3+≥60%, the overall response ...
Scientists at Brown University (Providence, RI, USA) and the University of Michigan (Ann Arbor, MI, USA) have created a groundbreaking computational technique to examine complex tissue data, potentially revolutionizing our understanding of diseases and their treatment. The method, known as Integrative and Reference-Informed tissue Segmentation (IRIS), utilizes machine learning and artificial intelligence to provide biomedical researchers with accurate insights into tissue development, disease pathology, and tumor structuring. IRIS employs spatially resolved transcriptomics (SRT) data and incorporates single-cell RNA sequencing data as a reference. This approach allows for the simultaneous examination of multiple tissue layers and accurately identifies different regions with exceptional computational speed and precision. In contrast to traditional methods that offer averaged data from tissue samples, SRT delivers a much more detailed perspective, locating thousands of specific points within a single tissue section. Handling vast and complex datasets has always posed significant challenges, and IRIS addresses these by using ...
To improve cancer survival rates, it’s crucial to understand the disease during its initial stages. Research involving data from thousands of cancer patients has uncovered exciting findings about how blood proteins can influence cancer risk, highlighting the need for further investigation to determine which proteins could be effectively utilized for prevention. Researchers have now employed a cutting-edge proteomics platform to identify blood proteins that could potentially provide a seven-year advance warning for various types of cancer. Their study findings underscore the significant potential of proteomics to transform cancer detection, enabling earlier interventions that could lead to improved treatment success and possibly even prevention. In this groundbreaking study recently published in Nature Communications, the researchers used Olink Holding AB’s (Uppsala, Sweden) next-generation Olink Explore proteomics platform to examine blood samples from over 44,000 individuals. They successfully identified 371 proteins associated with 19 different types of cancer, including 107 proteins that could ...
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