Latest AI and machine learning research in oncology/hematology for healthcare professionals.
To explore the potential of ontologies in improving adverse event identification, we developed ontology-aligned representations of adverse events extracted from electronic health records (EHRs) of fifty patients participating in a multiple myeloma trial. We reused relevant biomedical ontologies that are built upon Basic Formal Ontology (BFO) and constructed representations in Resource Description ...
This study focuses on AI-based quantification of socioeconomic disparities within society. Specifically, we investigate whether embeddings derived from a recurrent neural network (RNN), trained on the features of a deprivation index, capture more information on deprivation than traditional expert-based indices. Using the German Index of Socioeconomic Deprivation (GISD) as a benchmark, predictive p...
Healthcare data's rapid growth and complexity reveal a significant challenge: we lack effective approaches to integrate multimodal information into un...
OBJECTIVES: To compare MR image-based synthetic CT (sCT) with conventional CT for computer-assisted quantification of hip morphology by evaluating oss...
BACKGROUND: Accurate assessment of human epidermal growth factor receptor 2 (HER2) expression is essential for guiding targeted therapy in breast canc...
Cancer is a heterogeneous disease, with numerous subtypes differing in molecular profiles, risk factors, clinical outcomes, and tumor locations. Lung ...
BACKGROUND: N4-acetylcytidine (ac4C) is an emerging post-transcriptional RNA modification implicated in cancer biology, yet its cellular distribution,...
Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which ma...
Computed tomography colonography, also known as virtual colonoscopy, is a minimally invasive imaging technique developed in the early 1990s to evaluat...
Hyperbaric oxygen therapy is established for decompression illness, carbon monoxide poisoning, radiation-induced tissue injury, and diabetic foot ulce...
Biliary tract cancer (BTC) is typically diagnosed at an advanced stage due to the lack of effective screening tools, resulting in limited therapeutic ...
BACKGROUND: Cancer is a leading cause of death in both the USA and India. During Prime Minister Narendra Modi's State Visit to Washington, DC in June ...
BACKGROUND: The reliability of general-purpose large language models (LLMs) for complex clinical tasks in specialized domains such as microsatellite i...
BACKGROUND: De-escalation after transoral surgery (TOS) for HPV-related oropharyngeal squamous cell carcinoma (OPSCC) requires accurate risk stratific...
BACKGROUND AND OBJECTIVE: Electronic Nose (eNose) breathprints are promising non-invasive lung cancer diagnostic tools, but cross-site validation and ...
BACKGROUND: Circadian clock disruption has emerged as a relevant axis in cancer; however, the expression patterns and diagnostic relevance of BMAL1 an...
Pancreatic cancer is a rare kind of cancer that is detected during the final stages. This is because the symptoms are very common and also do not show...
Accurate recognition and classification of severity level of brain tumor (BT) is essential for clinical decision making. Manual assessment of brain tu...
Inherited genetic variation can weaken the ability of the immune system to detect and eliminate malignant cells, limiting the effectiveness of cancer ...
Pancreatic ductal adenocarcinoma (PDAC) presents as a cancer with an especially poor prognosis, largely due to the challenges surrounding its early di...