We systematically evaluate and compare the performance of classical statistical methods (ARIMA), mechanistic compartmental models (SEIR), modern deep learning architectures (LSTM, DLinear, Autoformer), and an emerging time-series foundation model (Ta... read more
Delirium, a dynamic neuropsychiatric condition associated with morbidity and mortality, remains underdiagnosed due to reliance on subjective, intermittent screening tools. Objective and potentially continuous identification is needed to improve clini... read more
Understanding which disease genes are altered by a drug can provide insight into the biology of effect, help us understand adverse drug effects, and suggest new drug uses. Here, we build on our model Draphnet in a new formulation with a similar goal.... read more
Clinical trial studies indicate benefit of watch-and-wait (WW) surveillance for patients with rectal cancer showing a complete or near clinical response (CR) directly after treatment (restaging). However, there are no objectively accurate methods to ... read more
Automated analysis of peripheral blood smears for Acute Lymphoblastic Leukemia (ALL) is hindered by low contrast and substantial variability in cytoplasmic appearance, which complicate conventional membrane-based segmentation. We found that many rece... read more
Tissue detection is a crucial first step in most digital pathology applications. By applying image segmentation algorithms, all tissue is delineated and background discarded from further analyses, improving both computational efficiency and analytica... read more
The increasing focus on the United Nations Sustainable Development Goals and on global net-zero emission targets has intensified the search for renewable and low-carbon alternatives to fossil diesel in compression ignition engines. Biodiesel made fro... read more
The economic value of ecosystem services is precious to the community and changes with land use/land cover (LULC). The main aim of this study is to examine LULC changes in the Sahiwal area between 1994 and 2024 using a Landsat time series, and to det... read more
Despite rapid advances in artificial intelligence (AI) capabilities, clinical integration remains limited, partly due to an incomplete understanding of physicians' real-world engagement and determinants of adoption. We conducted an international cros... read more
Digital lending and alternative finance systems, particularly Buy Now, Pay Later (BNPL) services, have expanded access to credit but introduced new challenges for accurate and transparent credit risk assessment. Borrowers in these ecosystems often la... read more
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