Using a prototype field cycling imager (FCI) scanner to examine breast cancer tissue, scientists distinguish tumour material from healthy tissue with more accuracy than current MRI methods.
New research uncovers the hidden diversity of adrenal gland tumors, shedding light on how they cause unusual medical symptoms and paving the way for new drug treatments.
A new AI-enhanced technique makes breast cancer tissue “glow” on MRI scans. This not only improves breast cancer detection but also can help treat it more effectively, the researchers say.
New research highlights the potential of circulating tumor DNA (ctDNA) analysis as a non-invasive method to identify actionable biomarkers for breast cancer, enabling individualized therapies.
When multiple myeloma cancer cells break out and multiply outside the bone marrow, a wide variety of tumor cells arise, accompanied by a significantly altered immune response, new research shows.
Researchers have developed a new kind of tumour-on-a-chip, which gives insight into the tumour environment and immunotherapy response. The device has been successfully tested on breast cancer samples.
Persister cells arise as a result of cancer treatment and are often responsible for tumour relapse. Researchers identified a distinctive feature of persister cells, paving the way for new treatments.
“What is a tumour?” Researchers explore tumour architecture as a valuable source of information to understand tumour dynamics and predict its sensitivity to anticancer drugs.
A new deep learning model shows promise in detecting and segmenting lung tumors. The findings of the study could have important implications for lung cancer treatment.
Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.
A new study measured how well breast cancer patients’ tumour ‘explants’ respond to chemotherapy or HER2 antibody therapy in the laboratory. This could help improve clinical outcomes.
A new personalised oncology platform has been tested to detect circulating tumour DNA (ctDNA) in patients with lung adenocarcinoma before surgery, to predict their risk of cancer relapse.
Why does radiation therapy kill cancer cells from the same tumour in different ways? This has long remained poorly understood. Now, new findings open up opportunities to improve treatment.
A new radiotracer – an injected compound used in PET scans – could help inform doctors that a patients aggressive cancer will not respond to chemotherapy before treatment is given.
Tumors in female fruit flies grow significantly larger than in male ones, a new study finds. The findings could lead to a better understanding of how the biological sex impacts cancer development.
Research offers new insights into harnessing the immune system to combat ovarian cancer. The findings could lead to personalized therapies that target the right patients at the right time.
A new MRI-based imaging technique predicts the response of ovarian cancer tumours to treatment, and rapidly reveals how well treatment is working, in patient-derived cell models.
Precise segmentation of anatomical structures greatly benefits cancer diagnosis. Using AI and deep learning methods, researchers are developing a high-precision 3D viewer software for medical image data.
A new study shows how inherent variations in a cancer cell and its interactions with its surroundings mould its migration. The findings provide valuable insights into the processes behind metastasis.
