Results 41 to 50 of about 3,754 (180)

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Secure Medical Blockchain Model

Information, 2023
The Internet of Medical Things (IoMT) uses wireless networks to help patients to communicate with healthcare professionals. Therefore, IoMT devices suffer from a lack of security controls, just like many Internet of Things (IoT) gadgets.
Ibrahim Shawky Farahat, Waleed Aladrousy, Mohamed Elhoseny, Samir Elmougy, Ahmed Elsaid Tolba   +4 more
doaj   +1 more source

HierAnom‐Path: Zero‐Shot Rare Cancer Detection in Histopathology via Hierarchical Foundation Model Adaptation

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Rare cancers collectively represent 20%–25% of all malignancies yet yield fewer than 50 annotated whole‐slide images (WSIs) per subtype in publicly available archives, rendering supervised deep learning inapplicable. We present HierAnom‐Path, to the best of our knowledge, the first framework for zero‐shot rare cancer anomaly detection in ...
Noora Saleem Jumaah, Mohanad Sameer Jabbar, Saif H. Alwaeli, Noor Ayesha, Mohamed Babiker A. Mohamed, Muhammad I. Khan   +5 more
wiley   +1 more source

A secure and efficient cryptographic hash function based on NewFORK-256

Egyptian Informatics Journal, 2012
Cryptographic hash functions serve as a fundamental building block of information security and are used in numerous security applications and protocols such as digital signature schemes, construction of MAC and random number generation, for ensuring data
Harshvardhan Tiwari, Krishna Asawa
doaj   +1 more source

A Multimodal Deep Learning Based Framework for Early and Accurate Diagnosis of Depression Using Electroencephalography and Event‐Related Potential Signals

Applied AI Letters, Volume 7, Issue 3, October 2026.
Cross Wavelet Transform (XWT) is combined with a pre‐trained AlexNet to extract rich time‐frequency features from non‐stationary EEG signals. Also, the proposed framework simultaneously extracts and integrates spatial (Node2vec), time‐frequency (XWT + AlexNet), and spectral (PSD + TSCN) features from EEG and ERP signals within a parallel architecture ...
Atefeh Abedzadeh Attar, Mohammad Hossein Moattar, Yahya Forghani   +2 more
wiley   +1 more source

Femtosecond‐Laser‐Induced Physical Unclonable Random Maze Structure for Storage‐Free Encryption

Advanced Science, Volume 13, Issue 49, 3 September 2026.
Femtosecond‐laser‐induced gold random maze structures serve as multimodal physical unclonable functions for storage‐free encryption. Their stochastic optical, electrical, and Raman responses are generated by plasmon‐assisted Marangoni formation and converted into AES‐compatible keys without permanent secret‐key storage, offering a portable route toward
Shiru Jiang, Hongliang Li, Shengjie Ma, Sang‐Shin Lee, Lei Wang, Mengyun Hu, Heping Zeng   +6 more
wiley   +1 more source

Second-Order Differential Collisions for Reduced SHA-256 [PDF]

, 2011
In this work, we introduce a new non-random property for hash/compression functions using the theory of higher order differentials. Based on this, we show a second-order differential collision for the compression function of SHA-256 reduced to 47 out of 64 steps with practical complexity. We have implemented the attack and provide an example.
Alex Biryukov, Mario Lamberger, Florian Mendel, Ivica Nikolic   +3 more
openaire   +3 more sources

EEG Biomarkers for Affective Disorders Diagnosis: An Evaluation and Validation Study

Human Brain Mapping, Volume 47, Issue 13, September 2026.
In this review, we introduce 25 EEG biomarkers for affective disorders diagnosis. We then validate their predictive ability across a public EEG dataset composed of healthy controls and subjects with different affective disorders, and provide a comprehensive analysis and discussion.
Sha Zhao, Yitian Liu, Jiquan Wang, Ruizhe Zhang, Yilin Wang, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan   +8 more
wiley   +1 more source

Comparative Analysis of MD5 and SHA-256 Hash Algorithms for Fingerprint File Integrity Verification

Journal of Applied Informatics and Computing
Fingerprint file integrity verification in driver license systems requires reliable cryptographic hash algorithms. MD5, currently widely deployed, has been deprecated by NIST (2008) due to demonstrated collision vulnerabilities, while SHA-256 offers ...
Nurdin Nurdin, Al Habbal, Fajriana Fajriana   +2 more
doaj   +1 more source

GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1028-1041, September 2026.
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler, Roberto Souza, Ashley D. Harris   +2 more
wiley   +1 more source