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.
Personalised screening, data-driven aproaches: In a dedicated press conference in Paris, French oncologists presented promising research that might bring hope for many cancer patients.
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.
Computational approaches are being applied on enormous amounts of data from sequencing technologies to develop tools to help clinicians manage cancer more effectively.
Involving cancer patients more closely in the treatment pathway can modify care and deliver better outcomes. Carefully designed questionnaires and treatment response monitoring are helping clinicians take therapies to a new level.
A protein vital in determining the organs affected by metastasis has been identified by Swiss researchers. This could lead to the development of therapeutic approaches to suppress metastasis.
