Oncode Accelerator’s Post

The FDA has granted breakthrough device designation to the artificial intelligence (AI)–based tool Paige Lymph Node for detecting breast cancer metastases in lymph node tissues. Device uses the power of AI to help the pathologist identify even small lymph node metastases rapidly and accurately, can efficiently detect suspicious areas of potential breast cancer metastasis ith 98%sensitivity, identify breast cancer micro-metastases and isolated tumor cells in lymph node tissue, and enhance diagnostic accuracy and confidence, ensuring that patients [with breast cancer] receive the optimal management of their disease. #breakthrough #AI #earlydetection #noninvasive

Breast cancer metastases can occur years after quiescence and cause cancer relapse as disseminated tumor cells (DCTs) resist treatment and survive – dormant – in distant organs and get activated once again. How these cells can be detected, specified and treated remains one of the big challenges in breast cancer. Click the picture and read how in vitro models can provide insights into mechanisms, triggers, and cell responses and how these could be transferred and used in a clinical setting. #personalizedmedicine #breastcancer #oncology #cancerresearch

I am deeply grateful to Prof. Su Bin Lim for the opportunity to contribute to the publication of our article, “NAMPT-Driven M2 Polarization of Tumor-Associated Macrophages Leads to an Immunosuppressive Microenvironment in Colorectal Cancer.” Being part of this impactful research is truly an honor. The work represents a significant step forward in understanding the complexities of the tumor immune microenvironment and its implications for colorectal cancer therapy. For those interested in the details of our findings, you can access the paper here: https://lnkd.in/gzp-VfCK #CancerResearch #ColorectalCancer #ScientificPublication

A new approach aimed to improve breast cancer screening Why it matters: Some efforts to detect cancer at an early phase can lead to unwanted outcomes because some scans can spot things that are, in fact, harmless. When it comes to breast cancer screening, experts say a methodology that combines Digital Breast Tomosynthesis and Synthetic 2D Mammography might do a better job of spotting troublesome tumors than other screening methodologies.

After someone is diagnosed with breast cancer, doctors will try to figure out if it has spread, and if so, how far. This process is called staging. The stage of a cancer describes how much cancer is in the body. It helps determine how serious the cancer is and how best to treat it. Doctors also use a cancer's stage when talking about survival statistics. The earliest stage breast cancers are stage 0 (carcinoma in situ). It then ranges from stage I (1) through IV. As a rule, the lower the number, the less the cancer has spread. A higher number, such as stage IV, means cancer has spread more.

Why do some breast cancer cells resist treatment? For patients with early-stage breast cancer, there is a 7 to 11 per cent chance of relapse within five years after receiving initial treatment, and this rate can be higher for patients with more advanced stage of the cancer. While chemotherapy aims to eliminate all #cancer #cells, some of them may evade treatment and survive, resulting in recurrence of the cancer. Led by #Research Asst Prof Leong Sai Mun from the NUS Centre for Cancer Research and the Department of Pathology at #NUSMedicine, a study that spanned over 10 years discovered that certain breast tumour cells sacrifice their own growth to aid other cells in resisting chemotherapy. This discovery reveals that disrupting such cooperation could be key to developing more effective treatments for breast cancer. Read more here: https://lnkd.in/gW9DwD_W #NewsAndUpdates

🌟#WednesdayWisdom🌟 Knowledge is power when it comes to understanding different types of breast cancer. Today, we're diving deep into the world of triple-negative breast cancer. Check out this insightful article from Cedars-Sinai to learn more about the latest advancements and research: https://lnkd.in/eEncHmch Let's stay informed and empowered in our journey towards wellness! 💪💖 #BreastCancerAwareness #TripleNegativeBreastCancer #UBCF

Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: the CONFIDENT-B single-center, non-randomized clinical trial https://lnkd.in/dg7TXn9W

Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: the CONFIDENT-B single-center, non-randomized clinical trial https://lnkd.in/dg7TXn9W

A study published in The Lancet Oncology found that breast cancer screenings that are supported by artificial intelligence (AI) systems can detect 20% more tumors than traditional screenings. The study involved 80,000 women who were screened for breast cancer using both AI-supported and traditional methods. The AI-supported screenings detected 244 cases of breast cancer, while the traditional screenings detected 203 cases. There were no false positives among the 20% of additional tumors that were detected by the AI-supported screenings. The authors of the study concluded that AI-supported breast cancer screenings could help to improve early detection rates and reduce mortality from the disease. #ai #breastcancer #breastcancerawareness https://lnkd.in/gssBDQrG