As more genomic alterations become targets for therapy, health institutions and hospitals are creating specialist Molecular Tumour Boards to support better decision-making for patient care. This evolving team, and its role, was highlighted in a presentation at the 34th European Congress of Pathology in Basel, Switzerland.
Treatment of central nervous system diseases and tumors is often hindered by the blood-brain barrier. A new method aims to overcome this obstacle using focused ultrasound intranasal delivery (FUSIN).
Many women diagnosed with breast cancer can be cured with surgery, radiotherapy and medical treatment. Swedish researchers explore whether physical exercise can support the anti-tumour effects.
Machine learning and artificial intelligence (AI) have the potential to transform cancer treatment management worldwide. Their ability to rapidly analyse and integrate routinely acquired diverse data will improve the accuracy and effectiveness of precision medical treatments.
New CT technology paired with artificial intelligence-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT.
Researchers from the University of Bern and Inselspital provide an overview of the latest technologies in precision oncology. Translating these into clinical application is still a major challenge.
A new study shows that women with a breast cancer diagnosis undergoing procedures for fertility preservation are not at increased risk of recurrence of the disease or disease-specific mortality.
A surprising mechanism explains why high-grade gliomas, the deadliest form of brain cancer, returns: The tumours adapt to treatment by recruiting help from nearby healthy tissue.
A considerable proportion of patients suffering from cancer of unknown primary (CUP) could benefit from comprehensive molecular analysis and molecularly-informed targeted therapies.
Striving to improve the patient’s quality of life after laryngectomy, researchers conducted a study, during which they searched for pathologies in patients’ voices using artificial intelligence (AI).
The development of a simple blood test for glioblastomas could mean earlier diagnosis and more effective and personalised treatment options against the most common type of malignant brain cancer.
Treating liver cancer tumours to shrink them in order to allow the patient to qualify for a liver transplant leads to excellent 10-year post-transplant outcomes, according to new research.
Researchers in Sweden have now discovered a faster and easier way to determine who has an aggressive form of prostate cancer, and who has not.
Cancer immunotherapy is a successful treatment form in oncology, but it doesn't work for every patient. One problem may be the lack of a specific type of immune cell in the tumor, researchers found.
Contrast-enhanced mammography (CEM) may be a useful alternative test for neoadjuvant therapy (NAT) response assessment in patients with breast cancer who are unable to undergo MRI.
The classification of brain tumors—and thus the choice of optimal treatment options—can become more accurate and precise through the use of artificial intelligence in combination with physiological imaging.
An artificial intelligence (AI) model combining four methods of machine learning (ML) to accurately detect thyroid cancer from routine ultrasound image data has been developed by US researchers.
A new AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
A simple blood test could be a better predictor of whether cancer immunotherapy will be successful for a patient with lung cancer than an invasive tumor biopsy procedure.
Researchers have developed an ultrasound-guided cancer immunotherapy platform that generates systemic antitumor immunity and improves the therapeutic efficacy of immune checkpoint blockade.
Researchers from Boston University School of Medicine have developed a novel artificial intelligence algorithm to assess digital pathology data.
"Crown-like structures" surrounding breast tumors in overweight and obese patients could hinder their response to therapy. The findings of this study could potentially be used to improve personalized treatment for patients.
Computational approaches are being applied on enormous amounts of data from sequencing technologies to develop tools to help clinicians manage cancer more effectively.
In an online event to mark International Women’s Day, five women at various stages of their careers in cancer care discussed the hurdles they had to overcome – often because of their gender – and their determination to succeed.
Informing a patient about a cancer diagnosis is never an easy task. An Austrian patient has developed a solution that will help radiologists break the bad news as smoothly as possible and guide women through their patient journey.
