Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVE: Fluoropyrimidines are widely prescribed for colorectal and breast cancers, but are associated with toxicities such as hand-foot syndrome and cardiotoxicity. Since toxicity documentation is often embedded in clinical notes, we aimed to develop and evaluate natural language processing (NLP) methods to extract treatment and toxicity information. MATERIALS AND METHODS: We constructed a gold...
BACKGROUND: Radiotherapy is a cornerstone in the treatment of brain metastases, but its mid- and long-term impact on brain parenchyma remains poorly understood. This study aimed to assess the differential volumetric alterations in the brain following two different modalities of Radiotherapy-Stereotactic Radiosurgery (SRS) and Whole-Brain Radiotherapy (WBRT). METHODS: Patients treated with SRS were...
PIM1 has been known to be one of the prolific molecular target in the discovery of new potential anticancer drugs due to its engagement in activation ...
We aim to present recent advancements in predictive markers for lymphomagenesis in SjD, concisely organize existing knowledge, and identify correspond...
BACKGROUND AND OBJECTIVE: Deep learning-based cell segmentation and classification methods in digital pathology are critical for diagnostics but are h...
BACKGROUND: Alzheimer's disease (AD) is increasingly recognized as a multifactorial network disorder in which amyloid and tau pathology interact with ...
Determining molecular markers that mediate clinically aggressive phenotypes in prostate cancer is a significant challenge. While traditional linear mo...
PURPOSE: Small cell lung cancer (SCLC) is a highly aggressive malignancy with a high incidence of liver metastases, particularly among elderly patient...
Prostate cancer places a heavy economic burden on health care in many countries globally. This is no exception in Africa. It is also described as one ...
A machine learning-based pathomics model was investigated for its value and biological significance in predicting overall survival (OS) after surgery ...
Protein function is inherently spatial: the same molecule can elicit distinct biological outcomes depending on its localization, interacting partners,...
OBJECTIVES: Amyloid-β (Aβ) PET is crucial for diagnosing and monitoring Alzheimer's disease (AD), but its high cost and radiation exposure limit its u...
Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform that enables high-precision access, sampling, and the...
BACKGROUND: Nurses are at the forefront of providing palliative care, playing a critical role in ensuring high-quality support for patients and their ...
BACKGROUND: Despite affecting approximately 30% of the population, the pathogenesis of temporomandibular disorders (TMD) remains poorly understood. Co...
BACKGROUND: Chronic postsurgical pain is a significant medical concern, particularly in cancer patients. However, most previous studies overlooked the...
BACKGROUND: Meningiomas are the most common dural-based intracranial tumors, yet Indian literature is predominantly composed of limited single-center ...
Melanoma, an aggressive form of skin cancer, demands innovative immunotherapeutic strategies to improve patient outcomes. This review explores recent ...
BACKGROUND: Predicting chemosensitivity before treatment could help tailor neoadjuvant chemotherapy (NAC) in early breast cancer (eBC). Pathological c...
OBJECTIVES: To assess the acceptability, usability, trust, and satisfaction of the INCISIVE AI toolbox (a tool to diagnose and facilitate decisions in...