Technology Innovation

Researchers have created a new system that uses caffeine to control gene editing and immune cell activity. The researchers designed a “Caffebody” platform that acts like a chemical switch, turning advanced treatments on and off using common substances. In this system, cells are engineered with three components: a caffeine-sensitive nanobody called a caffebody, a partner protein, […]

The ARTIA-Pancreas trial is testing a new CT-guided adaptive radiation method called CT-STAR for patients with borderline resectable or locally advanced pancreatic cancer. Traditional high-dose radiation is risky because the pancreas is close to sensitive organs like the stomach and duodenum, often causing severe gastrointestinal side effects. CT-STAR aims to deliver strong, tumor-killing doses while

The first magnetic nanoparticle hyperthermia machine in the United States has been installed to test a new experimental treatment for advanced metastatic cancers. This technology is designed to add controlled heat to standard therapies such as chemotherapy and radiation, potentially improving their effectiveness. The treatment works in two steps. First, patients receive an IV infusion

A new article demonstrates how FES-PET/CT is becoming an important imaging tool for estrogen receptor (ER)–positive breast cancer, especially invasive lobular carcinoma (ILC), which is often hard to detect with standard scans. ILC grows in thin “single-file” lines instead of forming clear lumps. Because of this pattern, it can be difficult to see on mammograms, ultrasound, and

Accurate T staging in early gastric cancer (EGC) is critical because it determines treatment. Tumors limited to the mucosa (T1a) can often be treated with minimally invasive endoscopic procedures, while deeper tumors (T1b) usually require major surgery. A new study found that EUS had an overall accuracy of about 75%. It was very good at

A new study demonstrates an artificial intelligence (AI) system designed to improve the treatment of cervical cancer by automatically outlining tumors on MRI scans and predicting the risk of local recurrence within five years. Accurate tumor outlining is essential for planning radiotherapy. Researchers developed a 3D deep-learning model called MedNext-7L to perform this task. The model

Traditional imaging often misses lobular breast cancer because these cells do not form solid tumors and float freely, making them hard to detect with scans that rely on tumor size or glucose metabolism. FES-PET/CT offers a better alternative by targeting estrogen receptors (ER), which lobular cancer cells depend on. Compared with standard FDG-PET/CT, which uses

The FDA has accepted Biofrontera’s application to expand the use of Ameluz (aminolevulinic acid) topical gel, used with the RhodoLED red light device, to treat superficial basal cell carcinoma (BCC). The agency found no problems with the filing and set a decision date of September 28, 2026. If approved, Ameluz would become the first photodynamic

Researchers have developed and validated an AI-based deep learning system to better predict outcomes in patients with oropharyngeal cancer (OPC) using CT scans taken before treatment. The tool focuses on extranodal extension (ENE), a condition in which cancer spreads outside the lymph node. ENE is usually confirmed only after surgery, but this new AI model

Zirconium oxide nanoparticles are being used to improve photodynamic therapy (PDT) for cancer. PDT is a minimally invasive treatment that relies on a light-activated drug and oxygen to produce reactive oxygen species that kill cancer cells. While effective in theory, traditional PDT is limited by poor drug solubility, shallow light penetration, and low oxygen levels