Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Lung cancer (LC) is one of the most prevalent and deadly cancers globally, presenting a major public health challenge. Patients with chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF) are at a significantly higher risk of developing lung cancer. Despite developments in research, the primary molecular pathways of many disorders remain poorly understood. The current...
The advancement of mRNA technology has rejuvenated the cancer treatment immunotherapy field by providing a flexible and scalable platform to generate tumor-associated or patient-specific neoantigens, which induces strong cytotoxic and helper T-cell outcomes and also immunologically stimulates innate immunity in the body at the same time. In contrast to conventional vaccines, mRNA preparations are ...
High-risk prostate cancer (HRPC) accounts for just 10% to 20% of new diagnoses yet accounts for two-thirds of prostate cancer mortality at 10 years. T...
Characterizing gene expression and regulatory dynamics underlying both normal tissue function and disease progression requires an integrative analysis...
The development of trustworthy AI models is crucial, particularly for critical medical applications such as brain tumor detection using MRI images. Ho...
Although immunotherapy has revolutionized cancer treatment, many patients still experience limited benefit, highlighting the urgent need for improved ...
BACKGROUND: After resection surgery, recurrence occurs in more than 30% of colorectal cancer (CRC) patients. Previous studies have highlighted the rol...
OBJECTIVE: This study evaluated the predictive performance of 2 novel 2.5-dimensional (2.5D) deep learning (DL) models for visceral pleural invasion (...
OBJECTIVE: To define oncologic outcomes in Veterans in the modern era using a multi-institutional cohort designed to support development and validatio...
OBJECTIVE: Multiparametric magnetic resonance imaging (mpMRI) detects clinically significant prostate cancer (csPCa, Gleason Grade Group ≥ 2) with hig...
BACKGROUND: Colorectal cancer remains a leading cause of mortality worldwide. We investigated whether adding socioeconomic information to machine lear...
IMPORTANCE: Cancer antigen 19-9 (CA19-9) is used to assess treatment response among patients with pancreatic ductal adenocarcinoma (PDAC); however, ne...
BACKGROUND: Over the past decade, machine learning (ML) has transformed histopathology, yet its application in lupus nephritis (LN) remains underexplo...
Cancer remains a significant global health challenge, necessitating innovative therapeutic strategies. Functional organic luminogens have emerged as a...
BACKGROUND: Artificial intelligence (AI) models have been increasingly explored for predicting treatment response to cognitive behavioral therapy (CBT...
OBJECTIVE: Current automatic segmentation models in radiotherapy, which are predominantly unimodal and image-based, have limited generalizability due ...
BACKGROUND: The tumour-stroma ratio (TSR) is a potential prognostic indicator, yet hindered by quantification challenges and conflicting reports. OBJE...
BACKGROUND: Rapid detection of drug-resistant leukemia played a crucial role in formulating appropriate treatment plans for patients and improving the...