Mar 30,2023

Arturo Loaiza-Bonilla, MD, Delivers Keynote Speech at NCODA International Spring Forum

Advances in artificial intelligence (AI) have significantly changed the management of colorectal cancer and other malignancies, argued Massive Bio Co-founder and Chief Medical Officer Arturo Loaiza-Bonilla, MD, in his keynote speech at the 2023 NCODA International Spring Forum, which was held March 15-17, 2023, in Indianapolis, Indiana. Loaiza-Bonilla noted that over the past decade, there has been a steady shift in oncology away fromclassifying and treating cancers strictly based on where a tumor exists in the body. The location of a tumor doesn’t necessarily accurately predict how it will behave or respond to treatment. Instead, patient prognosis and treatment decisions are increasingly informed by the use of biological or molecular markers—commonly known as biomarkers, said Loaiza-Bonilla. Looking to the future, Loaiza-Bonilla noted that the next revolution will be the development of biomarker multi-omics analysis, which will be capable of measuring an even broader set of important disease-influencing molecules, such as epigenetic markers, mRNAs, proteins, and metabolites in our cells. AI will play a key role in interpreting all of this new data.

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Mar 28,2023

Machine Learning Combines with Multispectral Infrared Imaging to Guide Cancer Surgery

Surgical tumor removal remains one of the most common procedures during cancer treatment, with about 45 percent of cancer patients undergoing surgical tumor removal at some point. A recent study published in the Journal of Biomedical Optics and led by Dale J. Waterhouse from University College London, UK, has now proposed such an approach. The research team has developed a new technique that combines machine learning with short-wave infrared (SWIR) fluorescence imaging to detect precise boundaries of tumors. The research team has developed a new technique that combines machine learning with short-wave infrared (SWIR) fluorescence imaging to detect precise boundaries of tumors. Next, they trained seven machine learning models to identify these profiles accurately in multispectral SWIR images. Out of the seven tested models, the best performing model achieved a remarkable per-pixel classification accuracy of 97.5 percent.

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Mar 23,2023

AI Predicts Genetics of Cancerous Brain Tumors in under 90 Seconds

Using artificial intelligence (AI), researchers have discovered how to screen for genetic mutations in cancerous brain tumors in under 90 seconds - and possibly streamline the diagnosis and treatment of gliomas, a study suggests. A team of neurosurgeons and engineers at Michigan Medicine, in collaboration with investigators from New York University, University of California, San Francisco and others, developed an AI-based diagnostic screening system called DeepGlioma that uses rapid imaging to analyze tumor specimens taken during an operation and detect genetic mutations more rapidly. In a study of more than 150 patients with diffuse glioma, the most common and deadly primary brain tumor, the newly developed system identified mutations used by the World Health Organization to define molecular subgroups of the condition with an average accuracy over 90%. The results are published in Nature Medicine.

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Mar 23,2023

Huma receives world’s first and only multi-condition EU MDR Class IIb regulatory approval for its configurable SaMD disease management platform

Huma Therapeutics today announced that it has become the only company in the world to receive EU MDR 2017/745 Class IIb certification for a disease agnostic Software as a Medical Device (SaMD). Achieving Class IIb certification means that the SaMD platform is permitted to monitor patients of all ages with any condition - including infants and in pregnancy - and can connect with a range of external devices, such as heart rate, blood sugar monitors or smart inhalers. In addition to enabling disease self-management by patients, it can also support clinicians to manage serious and critical conditions such as heart failure, COPD exacerbations, surgical recovery, cancer, immunodeficiency, asthma attacks and more.

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Mar 22,2023

Massive Bio and NeoGenomics Announce Collaboration to Accelerate Oncology Drug Discovery and Improve Patient Care

Massive Bio, Inc., a private AI-enabled oncology startup that provides virtual and in-person concierge services for cancer patients, and NeoGenomics, Inc., a leading provider of cancer-focused genetic testing services and global oncology contract research services, today announced a collaboration with the goal of accelerating the development of new cancer therapies and ultimately improving the lives of millions of cancer patients around the world. NeoGenomics will identify patients in real time who may be eligible for clinical trials based on biomarker status. Following initial contact and outreach provided directly from NeoGenomics to the treating physician, Massive Bio will help obtain patient consent and expediate additional screening and potential enrollment.

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Mar 20,2023

Lunit Meets MDR CE Requirements for 3D Breast Tomosynthesis AI Solution

Lunit (KRX:328130.KQ), a leading global provider of AI-powered cancer solutions, today announced that its AI solution for 3D Breast Tomosynthesis (DBT) analysis, Lunit INSIGHT DBT, has met the requirements of the CE marking under Europe's latest Medical Device Regulation (MDR). From May 2024, products without MDR CE certification will be banned from sale in the EU, making it vital for companies to obtain this certification to enter the market. Lunit developed Lunit INSIGHT DBT based on the evaluation that Lunit INSIGHT MMG is one of the most precise AI for commercialized breast screening. Lunit INSIGHT DBT analyzes 3D images from DBT to enable fast and accurate diagnosis of breast cancer.

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Mar 15,2023

Veracyte Announces Three Abstracts to Be Presented at AACR Annual Meeting 2023 Highlighting the Company’s Multi-Omics Capabilities and Tools for Biopharma Partners

Veracyte, Inc. (Nasdaq: VCYT) announced today that three abstracts highlighting the company’s unique, multi-omics capabilities and offerings for biopharmaceutical partners will be presented at the American Association for Cancer Research (AACR) Annual Meeting 2023, taking place April 14-19, 2023, at the Orange County Convention Center in Orlando, Florida.

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Mar 14,2023

Incyte Announces Data from Across its Oncology Portfolio will be Presented at the AACR Annual Meeting 2023

Incyte (Nasdaq:INCY) today announced that multiple abstracts from across its oncology portfolio will be presented during the upcoming American Association for Cancer Research (AACR) Annual Meeting 2023, held April 14-19, in Orlando, Florida.

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Mar 14,2023

Deep Bio’s Novel Study Results Reaffirm Its Global Presence

Deep Bio, a pioneer in medical AI for digital pathology and cancer diagnostics support software shared three research abstracts at the United States and Canadian Academy of Pathology (USCAP) 2023 which is being held in New Orleans from March 11th to 16th. The abstracts explore deep learning-based analysis of prostate cancer, Deep Bio’s main focus area, and c-MET measurements in lung cancer. Deep Bio is also participating in this year’s American Association for Cancer Research (AACR) and American Urology Association (AUA) in April.

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Mar 13,2023

ConcertAI's TeraRecon and Avicenna.AI Partner on AI for Incidental Pulmonary Embolism

ConcertAI's TeraRecon, the advanced visualization and AI Clinical SaaS category leader, today announced a partnership to offer medical imaging AI specialist Avicenna.AI's CINA-iPE solution detecting the presence of incidental pulmonary embolisms as part of TeraRecon's Eureka Clinical AI solution. Incidental pulmonary embolism is a frequent finding on routine CT scans of the chest, but only 25% of incidental emboli are reported at the initial interpretation. CINA-iPE is a CE-marked AI tool that analyzes images from CT scans and detects the presence of incidental pulmonary embolism immediately and with great immdiat consistency and accuracy. Delayed and missed findings are some of the most serious problems in diagnostic imaging, and incidental pulmonary embolism is a significant cause of mortality in the cancer patient population.

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