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.
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.
Researchers discovered that cancer cells mobilize a SOS response when they are desperate to resist anticancer drugs. The team also came up with an anti-SOS approach that blocked the mechanism in mice.
Two-dimensional (2D) cultured cell lines and animal models have been the principal research tools for the past decade, but have several shortcomings. Three-dimensional cell cultures, or organoids, show great promise here.
The interplay between the patient’s BMI, tumour size and cancer-specific proteins is of importance for the prognosis of breast cancer, a study from Sweden shows.
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.
Researchers from the UK and Sweden have found that individual prostate tumours contain a previously unknown range of genetic variation.
Development of effective live bacterial therapeutics may depend more on using and re-introducing native microbes that can stick around than how the microbes are modified.
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.
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.
Multiparametric ultrasound (MPUS) has proven its value in the abdomen – now, the technique is increasingly moving towards peripheral areas such as breast and testis imaging, experts showed in a dedicated session at ECR 2022.
Building artificial intelligence (AI) tools that clinicians and patients can trust, and easily use and understand, are core to the technology being successfully deployed in healthcare settings.
New research suggests that providing a break in treatment to patients with advanced bowel cancer could not only benefit a patient’s quality of life but could also help reduce costs.
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.
Colonoscopies performed with AI support may yield an increase in the overall rate of detection of adenoma, or cancerous and precancerous polyps, by 27% in average-risk patients, according to new data.
More than 70% of patients with bowel cancer are not diagnosed using screening programmes meaning diagnoses are often made late, when the cancer is at an advanced stage, according to new research.
Newly engineered in vitro tumour models open ways to better understand the crosstalk between liver cancer cells and their microenvironment, researchers from Singapore found.
Surgeons completed the first documented ‘net zero’ operation in the NHS, combining evidence-based approaches and documents using a carbon output calculator developed specifically for this task.
A new way of differentiating healthy from diseased cells could pave the way for more personalised treatment for patients diagnosed with glioblastoma multiforme (GBM), a common and aggressive type of brain tumour.
A combination of digital pathology and quantitative biomarker analysis in the emerging concept of ‘smart’ cytology has a potential role in the detection and diagnosis of cancer.
A new handheld device has been developed to painlessly identify skin cancers using millimeter-wave imaging. This could slash the rate of unnecessary biopsies.
