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Positron emission tomography (PET) combined with computed tomography (CT) imaging is routinely used in cancer diagnosis and prognosis by providing complementary information. Automatically segmenting tumors in PET/CT images can significantly…

Image and Video Processing · Electrical Eng. & Systems 2024-03-29 Jinpeng Lu , Jingyun Chen , Linghan Cai , Songhan Jiang , Yongbing Zhang

Accurate liver and tumor segmentation on abdominal CT images is critical for reliable diagnosis and treatment planning, but remains challenging due to complex anatomical structures, variability in tumor appearance, and limited annotated…

Image and Video Processing · Electrical Eng. & Systems 2026-01-21 Arefin Ittesafun Abian , Ripon Kumar Debnath , Md. Abdur Rahman , Mohaimenul Azam Khan Raiaan , Md Rafiqul Islam , Asif Karim , Reem E. Mohamed , Sami Azam

The HIV-1 integrase (IN) is a major target for the design of novel anti-HIV inhibitors. Among these, three inhibitors which embody a halobenzene ring derivative (HR) in their structures are presently used in clinics. High-resolution X-ray…

Epigenetic modifications to histones may promote either activation or repression of the transcription of nearby genes. Recent experimental studies show that the promoters of many lineage-control genes in stem cells have "bivalent domains"…

Genomics · Quantitative Biology 2013-06-12 Wai Lim Ku , Michelle Girvan , Guo-Cheng Yuan , Francesco Sorrentino , Edward Ott

The ability to precisely edit genomes by deleting or adding genetic information enables the study of biological functions and the building of efficient cell factories. In many unconventional yeasts, such as promising new hosts for cell…

Quantitative Methods · Quantitative Biology 2023-08-31 Min Lu , Sonja Billerbeck

The current standard for detecting human epidermal growth factor receptor 2 (HER2) status in breast cancer patients relies on HER2 amplification, identified through fluorescence in situ hybridization (FISH) or immunohistochemistry (IHC).…

Image and Video Processing · Electrical Eng. & Systems 2024-09-27 Ardhendu Sekhar , Vrinda Goel , Garima Jain , Abhijeet Patil , Ravi Kant Gupta , Tripti Bameta , Swapnil Rane , Amit Sethi

Inspired by nature, this study employs the Materials Genome Initiative to identify key components of HTSC superconductors. Integrating AI with high-throughput screening, we uncover crucial superconducting "genes". Through HTS techniques and…

Strongly Correlated Electrons · Physics 2025-11-07 H. Gashmard , H. Shakeripour , M. Alaei

MET protein overexpression is a targetable event in non-small cell lung cancer (NSCLC) and is the subject of active drug development. Challenges in identifying patients for these therapies include lack of access to validated testing, such…

Computer Vision and Pattern Recognition · Computer Science 2023-10-16 Kshitij Ingale , Sun Hae Hong , Josh S. K. Bell , Abbas Rizvi , Amy Welch , Lingdao Sha , Irvin Ho , Kunal Nagpal , Aicha BenTaieb , Rohan P Joshi , Martin C Stumpe

Starting from the lead structure we have identified in our previous works, we are extending our insight understanding of its potential inhibitory effect against both EGFR and HER2 receptors. Herein and using extended molecular dynamic…

Biomolecules · Quantitative Biology 2013-05-30 Marawan Ahmed , Maiada M. Sadek , Khaled A. Abouzid , Feng Wang

The recursive quad-tree partitioning in High Efficiency Video Coding (HEVC) incurs considerable computational overhead, with exhaustive rate-distortion optimization for CTU partition prediction consuming the dominant share of encoding time.…

Image and Video Processing · Electrical Eng. & Systems 2026-05-29 Krishna Kumar Sharma , Somdyuti Paul

The identification of active binding drugs for target proteins (termed as drug-target interaction prediction) is the key challenge in virtual screening, which plays an essential role in drug discovery. Although recent deep learning-based…

Machine Learning · Computer Science 2021-10-18 Siyuan Liu , Yusong Wang , Tong Wang , Yifan Deng , Liang He , Bin Shao , Jian Yin , Nanning Zheng , Tie-Yan Liu

Protein-ligand structure prediction is an essential task in drug discovery, predicting the binding interactions between small molecules (ligands) and target proteins (receptors). Recent advances have incorporated deep learning techniques to…

Using the frequency-domain theory, the high-order above threshold ionization (HATI) of a molecule is treated as a two-step transition: an above threshold ionization (ATI) followed by a laser-assisted collision (LAC). It is found that the…

Atomic Physics · Physics 2009-05-28 Bingbing Wang , Yingchun Guo , Zong-Chao Yan , Panming Fu

Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics significantly increases the chances of correct treatment and survival, but this process is tedious and often leads to a disagreement between pathologists.…

Computer Vision and Pattern Recognition · Computer Science 2018-06-26 Alexander Rakhlin , Alexey Shvets , Vladimir Iglovikov , Alexandr A. Kalinin

In this paper have developed a novel hybrid hierarchical attention-based bidirectional recurrent neural network with dilated CNN (HARDC) method for arrhythmia classification. This solves problems that arise when traditional dilated…

Signal Processing · Electrical Eng. & Systems 2023-07-14 Md Shofiqul Islam , Khondokar Fida Hasan , Sunjida Sultana , Shahadat Uddin , Pietro Lio , Julian M. W. Quinn , Mohammad Ali Moni

Breast cancer, the second most prevalent cancer among women worldwide, necessitates the exploration of novel therapeutic approaches. To target the four subgroups of breast cancer "hormone receptor-positive and HER2-negative, hormone…

Medical Physics · Physics 2024-05-02 Parham Rezaee , Shahab Rezaee , Malik Maaza , Seyed Shahriar Arab

We present a systematic study of deuterated molecular hydrogen (HD) at high redshift, detected in absorption in the spectra of quasars. We present four new identifications of HD lines associated with known $\rm H_2$-bearing Damped…

Astrophysics of Galaxies · Physics 2021-06-30 D. N. Kosenko , S. A. Balashev , P. Noterdaeme , J. -K. Krogager , R. Srianand , C. Ledoux

Single-atom metal alloy catalysts (SAACs) have recently become a very active new frontier in catalysis research. The simultaneous optimization of both facile dissociation of reactants and a balanced strength of intermediates' binding make…

Materials Science · Physics 2021-04-14 Zhong-Kang Han , Debalaya Sarker , Runhai Ouyang , Yi Gao , Sergey V. Levchenko

Understanding the way cells communicate, co-locate, and interrelate is essential to furthering our understanding of how the body functions. H&E is widely available, however, cell subtyping often requires expert knowledge and the use of…

The popular use of histopathology images, such as hematoxylin and eosin (H&E), has proven to be useful in detecting tumors. However, moving such cancer cases forward for treatment requires accurate on the amount of the human epidermal…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Olaide N. Oyelade , Oliver Hoxey , Yulia Humrye