Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Primary liver cancer, mainly hepatocellular carcinoma and intrahepatic cholangiocarcinoma, remains a leading cause of cancer mortality worldwide. Early detection is crucial for curative treatment, yet current surveillance and diagnostic strategies, primarily ultrasound surveillance and contrast-enhanced CT or MRI, suffer from operator dependence, limited sensitivity, and interpretive variability. ...
BACKGROUND AND PURPOSE: Deep learning (DL) reconstruction methods have shown promise in accelerating 2D MRI sequences but have yet to be extensively validated for routine 3D volumetric MRI applications. Our purpose was to assess the diagnostic quality of a novel DL-accelerated 3D T1-MPRAGE compared with a state-of-the-art wave-controlled aliasing in parallel imaging (Wave-CAIPI) accelerated 3D T1-...
Drug repositioning aims to identify new indications for existing drugs, offering a cost-effective and time-efficient strategy for therapeutic developm...
Lung cancer is the third most common cancer in the US with a 5-year survival rate of 17%. Non-small cell lung cancer, especially adenocarcinoma, preva...
OBJECTIVES: To develop and validate a multimodal deep learning model integrating clinical data, contrast-enhanced CT, and laryngoscopic images for dif...
Rare diseases are often difficult to diagnose, and their scarcity also makes it challenging to develop deep learning models for them due to limited la...
OBJECTIVE: Osteosarcoma (OS) is a highly aggressive malignant bone tumor. While ID1 plays a critical role in OS progression, the underlying mechanisms...
BACKGROUND: Pharmacotyping, the ex vivo measurement of tumor cell responses to drugs, is particularly important for cancers lacking actionable genomic...
Advancements in deep learning technologies and an increase in medical data have enhanced the accuracy of disease diagnosis and treatment strategies. N...
Minimally invasive liver surgery (MILS), including laparoscopic liver surgery and robotic liver surgery, has come a long way in the management of prim...
OBJECTIVE: To investigate the feasibility of evaluating Imaging-Defined Risk Factors (IDRFs) in Neuroblastoma (NB) patients using venous-phase (VP)-on...
BACKGROUND: Hymenoptera venom immunotherapy is an established treatment for severe allergic reactions, aiming to modulate the immune response and redu...
While technological innovation in radiation therapy (RT) continues to accelerate, safe and equitable adoption of emerging tools is reliant on the read...
Chronic obstructive pulmonary disease (COPD) and non-small-cell lung cancer (NSCLC) often coexist; here, the shared mitochondrial drivers were investi...
Aging-related transcriptional programs shape breast cancer progression, immune regulation, and therapeutic response. We integrated curated aging-assoc...
In contrast to the MSI-H subtype, most microsatellite-stable (MSS) colorectal cancer (CRC) patients exhibit poor prognosis and limited responsiveness ...
The convergence of artificial intelligence (AI) and big data is reshaping contemporary oncology by enabling the integration of multimodal information ...
UNLABELLED: Pulmonary nodules are a common radiological finding that can be classified as either benign or Malignant, with significant clinical implic...
Neuroblastoma is the most prevalent extracranial solid tumor in pediatric age populations worldwide and the most common neoplastic disease diagnosed i...