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.
A new approach to fight glioblastoma: Swiss researchers have now developed an immunotherapy that not only attacks the brain tumor—it also turns its microenvironment against it.
A ‘mini-protein’ can deliver radiation doses directly to tumours without harming healthy tissues. The approach shows promise for the treatment of metastatic bladder cancer and other tumours.
New insights into metastasis: Scientists created a 3D-printed model to mimic the specific conditions that spur the spread of cancer cells. This could help discover new screening and treatment options.
Insulinomas are benign tumors in the pancreas, but can still cause problems for patients. A new imaging technique reliably detects these previously hard-to-find tumors, according to recent research.
A new study found that measuring circulating tumor cells (CTCs), rare cancer cells shed from tumors into the blood, is a reliable way to predict later treatment response and survival prospects with metastatic prostate cancer.
By combining mass spectrometry and mass cytometry imaging techniques, researchers can now dive deeper into tumors and map the metabolism of individual cells in tumor tissue.
Scientists at the University of Geneva (UNIGE) and the Geneva University Hospitals (HUG) have developed CAR-T cells capable of targeting malignant gliomas while preserving healthy tissue.
Researchers have succeeded in identifying patterns of response to treatment in patients with multiple myeloma using AI tools, which helps to accurately predict the evolution of the tumor.
Currently, it is difficult to predict whether a cancer patient will respond to immunotherapy or not. A new method to quantify the heterogeneity of the tumour microenvironment aims to improve this.
To diagnose neuroblastoma in children, lengthy scans and anaesthesia are often required. A new PET/CT imaging technique could deliver faster results without sedation for the paediatric patients.
Researchers at MIT and ETH Zurich developed an AI model that identifies certain breast cancer stages likely to progress to invasive forms of cancer.
Microproteins hold great promise, according to new research: Since they are only expressed by liver tumor cells, the proteins could serve as a potential target for cancer vaccine development.
Researchers demonstrated how the growth of malignant brain tumours can be greatly decreased by using iontronic technology to continuously administer low doses of cancer drugs.
Using specific radiomics features from 70 characteristics in MRI images, researchers develop an objective method to predict the hearing status of patients with vestibular schwannoma.
Pancreatic cancer stem cells exploit an antibacterial protein to evade the immune system. Removing this protein could pave the way to more effective immunotherapy, new research suggests.
A new study used new molecular analyses to unravel the biological mechanisms of pediatric brain tumors and refine their classification.
Unlike most tumours, atypical teratoid/rhabdoid (AT/RT) tumours develop very quickly. Now, researchers explored the mechanisms of these aggressive brain tumours that mainly affect young children.
Researchers have discovered how the mechanical properties of tumours - their softness, for example - can prime cancer cells to better survive their spread to other organs.
Osteosarcoma is the most prevalent malignant bone tumor. Now, researchers have developed a machine-learning model to predict the density of viable tumor cells after surgery and chemotherapy treatment.
A research team created a computational model that simulates the invasion of cancer cells in breast tumors on a biomechanical level. This could help predict the evolution of breast cancer in patients.
US oncologists are exploring a new combined chemotherapy and surgical approach to safely remove advanced pancreatic tumors that were previously considered inoperable.