Latest AI and machine learning research in lymphoma for healthcare professionals.
Evaluation of potential chemical-induced eye injury through irritation and corrosion is required to ensure occupational and consumer safety for industrial, household and cosmetic ingredient chemicals. The historical method for evaluating eye irritant and corrosion potential of chemicals is the rabbit Draize test. However, the Draize test is controversial and its use is diminishing - the EU 7th Ame...
Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI). Unlike the previous methods that considered simple low-level features such as gray matter tissue volumes from MRI, and mean signal intensities from PET, in this paper, we propose a deep learning-based latent feature representation with a stack...
The widespread adoption of clinical large language models (LLMs) introduces significant risks of automation bias, premature closure, and clinician des...
Cell-cell interaction (CCI) underlies several fundamental biological processes, including development, homeostasis and disease progression. Subcellula...
Postpartum depression (PPD) poses a major burden on maternal and child health, especially in low- and middle-income countries where prevalence exceeds...
Anti-amyloid therapies and blood-based biomarkers are changing Alzheimer disease workups into a two-stage measurement workflow: screen broadly with ch...
Fast and accurate segmentation of Acute Ischemic Stroke (AIS) lesions is essential for stroke prognosis and treatment planning. Non-contrast CT (NCCT)...
PSMA and FDG PET/CT visualise complementary biological information in prostate cancer. Combining both tracers could capture heterogeneous tumour pheno...
MRI reconstruction methods for undersampled k-space data naturally utilize complex-valued measurements. Parallel developments in sparse phase retrieva...
Fundamental cellular decisions of life and death are governed by intricate and tightly regulated intracellular signalling pathways that determine whet...
BackgroundA 2019 report from our institution described a multilayer artificial neural network (ANN) for predicting prostate cancer at biopsy in 334 pa...
Pathologic diagnoses of hematopoietic diseases require immunohistochemistry (IHC) stains selected by pathologists upon preview of H&E-stained slides. ...
Lung cancer remains one of the leading causes of cancer- related mortality worldwide. Although targeted therapies have improved outcomes for patients ...
Vision-language models offer a promising path toward automating radiology report generation, but applying them to full 3D CT volumes poses substantial...
Inherited lung cancer risk arises from both protein-coding and non-coding germline variants, but the functional non-coding component is largely unchar...
Medical images are routinely de-identified---names, dates, and other metadata removed---and then shared for research, teaching, and public benchmarks ...
Four-dimensional cone beam CT (4D CBCT) is important for image-guided radiation therapy of thoracic cancers, but its use is limited by long scan times...
Adverse weather image restoration aims to recover clear visibility from degraded images in complex weather conditions. Existing works attempt to add...
Large language model (LLM) inference has evolved from an offline workload into a continuously operated software service, yet root-cause analysis remai...
Monocular depth foundation models, benefiting from large-scale synthetic training data, have demonstrated strong generalization. However, they often h...