Diagnostics

AI and liquid biopsy technologies are transforming cancer detection, diagnosis, and treatment planning. Advanced AI algorithms are now capable of analyzing biopsy slides to identify microscopic tumor features that may be overlooked by human pathologists. For example, the DeepHRD tool evaluates standard slides to detect specific genetic deficiencies, guiding personalized treatment decisions. AI is also […]

Researchers have developed a breakthrough blood test for mesothelioma, a rare cancer of the organ linings often caused by asbestos exposure. Because mesothelioma spreads diffusely rather than forming solid tumors, traditional imaging struggles to detect its presence or track treatment effectiveness. The new approach, developed by teams at Johns Hopkins University and Georgetown University, detects

Recent advances in colorectal cancer (CRC) diagnostics are making screening more accurate, less invasive, and widely accessible. Artificial intelligence (AI) and machine learning are transforming colonoscopy, with systems like GI Genius providing real-time image analysis to detect polyps that might be missed, while algorithms help identify high-risk patients and improve the accuracy of blood and

Advancements in lung cancer diagnosis are transforming detection, making it earlier, more accurate, and less invasive, which is crucial for improving survival. Low-dose CT (LDCT) screening remains standard for high-risk individuals, identifying small lung nodules with minimal radiation exposure. Robotic-assisted bronchoscopy systems like MONARCH™ and Ion allow minimally invasive biopsies of previously inaccessible nodules, aided

Multiparametric MRI’s positive predictive value for detecting prostate cancer improves when lower apparent diffusion coefficient (ADC) values and patient prostate-specific antigen density (PSAD) thresholds data are incorporated, investigators have found. Multiparametric MRI :1. T2-weighted imaging (T2WI): High-resolution anatomical detail, especially useful for identifying tumor boundaries, 2. Diffusion-weighted imaging (DWI): Detects restricted water movement in tissues, which often correlates

New imaging techniques are improving cancer detection during cystoscopy, helping doctors identify and remove tumors more accurately. Blue Light Cystoscopy (BLC) with Cysview uses a photosensitizing agent, hexaminolevulinate HCl, instilled into the bladder about an hour before the procedure. Cancer cells absorb the agent and glow bright pink or red under blue light, while healthy

Recent innovations in bladder cancer diagnostics are improving detection, monitoring, and treatment planning while reducing invasive procedures. Contrast-enhanced ultrasound (CEUS) uses microbubble agents to visualize blood flow within tumors, helping distinguish non-invasive from invasive bladder cancers. Advances like 3D CEUS are also being explored to evaluate tumor response during therapy. Advanced imaging with PET-CT or

AI-powered mammography is transforming breast cancer screening by acting as a “second reader” that helps radiologists detect subtle signs of cancer they might otherwise miss. Using deep learning trained on millions of images, AI identifies microcalcifications, distortions, and abnormalities in dense tissue, often matching or exceeding human accuracy. It also provides risk scores to prioritize

Cancer detection has shifted from symptom-based diagnosis to proactive, personalized screening using advanced technologies, allowing earlier and more accurate detection, especially for high-risk patients and hard-to-detect cancers. High-risk gastric cancer screening focuses on individuals with family history, hereditary syndromes like Lynch syndrome, pre-cancerous stomach conditions, or origins from regions with high gastric cancer rates. Upper