Results 121 to 130 of about 32,982,640 (297)

Deep learning-based breast cancer detection with customized ensemble attention

Scientific Reports
Breast cancer remains one of the leading malignancies globally, and accurate diagnostic decisions at the early stages of the disease can significantly improve patient prognosis.
Divyakant T. Meva, Kalpesh Popat, Hirenkumar Kukadiya, Nikisha Jariwala   +3 more
doaj   +1 more source

Segmenting Hepatic Blood Vessels and Liver Tumors in CT Images: An Improved Evolutionary Algorithm Approach

ITEGAM-JETIA
Among the many forms of cancer, liver tumours are among the most dangerous. Liver neoplasms can be effectively predicted, identified, and managed with the help of computer-aided technology and liver interventional surgery.
K. R Ananthapadmanaban, Selvakumar Subramanian, Sivakumar S   +2 more
doaj   +1 more source

AS-818-16 Resolution on Department Name Change: Computer Science to Computer Science and Software Engineering [PDF]

, 2016
Changes the department name to Computer Science and Software ...
The Department of Computer Science,
core  

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

Computer concepts without computers: a first course in computer science [PDF]

, 1997
While some institutions seek to make CS1 curricula more enjoyable by incorporating specialised educational software [1] or by setting more enjoyable programming assignments [2], we have joined the growing number of Computer Science departments that seek ...
Rogers, Bill, Smith, Tony C., Holmes, Geoffrey   +2 more
core  

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Deep Learning–Based Dual-Pipeline Framework for Acute Lymphoblastic Leukemia Classification With Explainable AI Integration

Applied Computational Intelligence and Soft Computing
Acute lymphoblastic leukemia (ALL) is a type of blood cancer that rapidly impacts the hematologic system, particularly in children, requiring accurate and prompt diagnosis for better clinical outcomes. Manual inspection of peripheral blood smears remains
Aziz Makandar, Arfa Bhandari, Benita Veronica, Ashvini Alashetty, Jyothi A. P., Shaista Tarannum, Sachin Sharma   +6 more
doaj   +1 more source

Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding

FEBS Letters, EarlyView.
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança, Eline L. Jansen, Jorine M. Eeftens   +2 more
wiley   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

FEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk, Gailing Ma, Robin Antrobus, Diego Manni, Marco Trevisan‐Herraz, Mustafa Khwaja, Max Brown, Gavin D. Richardson, Masaaki Komatsu, Daniel Erskine, Viktor I. Korolchuk, Tetsushi Kataura   +11 more
wiley   +1 more source