Technology Innovation

Immune checkpoint inhibitors (ICIs) help only about 25–30% of patients with advanced non–small cell lung cancer (NSCLC) lacking EGFR or ALK alterations. Traditional biomarkers such as PD-L1 expression and tumor mutational burden (TMB) are imperfect, necessitating better predictors. Recent advances in artificial intelligence (AI) now allow analysis of digital pathology images to identify immune features […]

Traditional liquid biopsies for brain cancer are limited by the blood-brain barrier, but new AI-driven methods are improving detection. Researchers at Johns Hopkins University developed a technique that analyzes DNA fragments from tumors and immune cells in the blood, achieving about 75% detection in early studies. Another system, crossNN, examines epigenetic signatures and can classify

Researchers have achieved a major breakthrough in liver cancer treatment by combining traditional radiation therapy with microbubble ultrasound contrast agents. The studies found patients with aggressive intrahepatic cholangiocarcinoma (ICC) and liver metastasis showed a greater than 50% improvement in tumor response rates, while patients with hepatocellular carcinoma (HCC) experienced significant improvements in both tumor response

Ultrasound-guided biopsy is an effective method for obtaining tissue from peripheral lung lesions, pleura, or metastatic nodes, allowing accurate lung cancer diagnosis. Both radiologists and pulmonologists can perform the procedure, which has a high diagnostic yield. Two main techniques are used: fine-needle aspiration and core biopsy. A study by researchers at Alexandria University found overall

Advanced stereotactic thermal ablation offers a minimally invasive, highly precise treatment for liver tumors. Using heat delivered through needle-like probes—either radiofrequency (RFA) or microwave (MWA)—this approach destroys cancer cells while sparing healthy tissue. Microwave ablation is especially effective for larger tumors due to faster, uniform heating unaffected by blood flow. Stereotactic systems enhance traditional ablation

Artificial intelligence (AI) is transforming complex liver cancer surgery by improving precision and patient outcomes. In preoperative planning, AI creates detailed 3D liver models from CT or MRI scans, accurately mapping tumors, blood vessels, and bile ducts. Surgeons can perform “virtual hepatectomies” to simulate resections, calculate remaining healthy liver tissue, and reduce postoperative liver failure

Immunotherapy Checkpoint Inhibitors: Block proteins preventing immune system cancer attack, particularly effective for specific genetic features: MSI-H and dMMR Tumors: High mutation burden makes them immune-visible. Approved treatments include pembrolizumab (Keytruda), nivolumab (Opdivo), and nivolumab plus ipilimumab (Yervoy) for advanced colorectal cancer. The combination significantly improves progression-free survival versus single agents. Adoptive Cell Therapy: Extracts patient immune cells,

Immunotherapy and Cell-Based Therapies: 1. CAR-T Cell Therapy: Genetically modifies patients’ T-cells to recognize and attack specific cancer cells, then reinfuses them. Shows remarkable success in blood cancers like leukemia, lymphoma, and multiple myeloma. 2. Personalized Cancer Vaccines: Use mRNA technology (similar to COVID-19 vaccines) to create custom vaccines targeting individual tumor proteins, helping the immune system

Magnetodrone technology is a new, precision-guided cancer therapy that uses microscopic, self-propelled bacteria to deliver drugs directly into solid tumors. This innovative approach aims to overcome a major limitation of traditional treatments: the inability of drugs to effectively reach and penetrate the entire volume of a tumor. How Magnetodrones Work The Magnetodrones: These are non-pathogenic,

Investigators have found that multiparametric MRI (mpMRI) for prostate cancer becomes more accurate when lesion-level apparent diffusion coefficient (ADC) values and patient prostate-specific antigen density (PSAD) thresholds are incorporated. Stanford researchers reported their findings on August 12 in Radiology, showing that these additional metrics can improve the positive predictive value (PPV) of mpMRI for clinically