Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Cancer chemotherapy responses have been related to multiple pharmacogenetic biomarkers, often for th...
Screening for prostate cancer relies on the serum prostate-specific antigen test, which provides a h...
Artificial intelligence (AI) refers to a field of computer science aimed to perform tasks typically ...
The composition and relative abundances of immune cells in the tumor microenvironment are key factor...
The hypothesis that destructive mass extinctions enable creative evolutionary radiations (creative d...
Tumor mutation burden (TMB) is considered to be an independent genetic biomarker that can predict th...
Histological Gleason grading of tumor patterns is one of the most powerful prognostic predictors in ...
BACKGROUND: Identifying predictors of positive surgical margins (PSM) and biochemical recurrence (BC...
Since the introduction of robot-assisted surgery, increasingly complex operations have been performe...
RATIONALE AND OBJECTIVES: To investigate the value of diffusion-weighted magnetic resonance imaging ...
Cone-beam computed tomography (CBCT)- and magnetic resonance (MR)-images allow a daily observation o...
Since colonoscopy and polypectomy were introduced, Colorectal Cancer (CRC) incidence and mortality d...
Extreme gradient boosting methods outperform conventional machine-learning models. Here, we have dev...
This study aimed to investigate the predictive efficacy of positron emission tomography/computed tom...
For the last few years, computer-aided diagnosis (CAD) has been increasing rapidly. Numerous machine...
IMPORTANCE: An end-to-end efficacy evaluation approach for identifying progression risk after epider...
PURPOSE: Convolutional neural networks (CNNs) offer a promising approach to automated segmentation. ...
We present comboFM, a machine learning framework for predicting the responses of drug combinations i...
Positron emission tomography (PET), a functional and dynamic molecular imaging technique, is general...
PURPOSE: The purpose of this study was to develop and validate a deep learning (DL)-based radiomics ...
This study aims to enable effective breast ultrasound image classification by combining deep feature...