Simultaneous non-negative matrix factorization for multiple large scale gene expression datasets in toxicology. by Clare M Lee, Manikhandan A V Mudaliar, D R Haggart, C Roland Wolf, Gino Miele, J Keith Vass, Desmond J Higham, Daniel Crowther

“…Overall, the algorithm shows promise for early detection of toxicity in the drug discovery process.…”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Even though academic journals are trying to regulate the misuse of generative AI in medical writing by introducing AI detection as a regular part of the review process, the burden of upholding scientific accuracy and integrity still falls on the researcher’s shoulders. …”
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A MALDI-TOF MS-based approach to improve group B Streptococcus screening among pregnant people in Brazil by Dr Tatiana Pinto, Debora Nery, Dr Laura Oliveira, Dr Natalia Costa, Prof Sergio Fracalanzza, Dr Ana Caroline Botelho, Prof Lucia Teixeira, Dr Penelope Marinho

“…MALDI-TOF mainly failed to detect GBS when the resulting pellet did not contain the minimum detection limit of the equipment. …”
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Dempster Shafer-Empowered Machine Learning-Based Scheme for Reducing Fire Risks in IoT-Enabled Industrial Environments by Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, Saurabh Singh, Byungun Yoon

“…In high-risk IoT-enabled Industrial Environments such as oil and gas industries, early and accurate fire detection is crucial to prevent catastrophic damage. …”
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Integration of acoustic, optical, and electrical methods in picoliter droplet microfluidics for rare particles enrichment by Huasheng Zhuo, Chunhua He, Canfeng Yang, Xian Jiang, Fan Li, Xiangliang Yang, Hai Yang, Tuying Yong, Zhiyong Liu, Yan Ma, Lei Nie, Guanglan Liao, Tielin Shi

“…The optical fibers with an enhanced detection algorithm greatly boost optical detection sensitivity. …”
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EPIWATCH, an artificial intelligence early-warning system as a valuable tool in outbreak surveillance by Dr Ashley Quigley, Mr Damian Honeyman, Ms Haley Stone, Dr Rebecca Dawson, Professor C Raina MacIntyre

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Assessing of a Radiation Therapy Sessionʼs Duration at the Stage of Pre-Radiation Preparation by M. N. Piatkevich, E. V. Titovich

“…The treatment planning process includes a review of the radiation treatment plan which leads to a decision on the patientʼs treatment technique. …”
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FLAW DEFECTION ANALYSE OF THE SURFACE OF ACRYLIC BASE PLASTICS by V.O. Kurylo, D.M. Korol, M.M. Maliuchenko, A.M. Ramus

“…Statistical evaluation through the JUSP program compared the two sets of samples, highlighting significant differences between them. …”
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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…It can handle the most common tasks in metabarcoding pipelines such as paired-end merging, primer trimming, quality filtering, sequence denoising, zero-radius operational taxonomic unit (ZOTU) filtering, and has the capability to process multiple genetic markers simultaneously. mbctools is a menu-driven program that eliminates the need for expertise in command-line skills and ensures documentation of each analysis for reproducibility purposes. …”
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Enzyme Engineering: Performance Optimization, Novel Sources, and Applications in the Food Industry by Shucan Mao, Jiawen Jiang, Ke Xiong, Yiqiang Chen, Yuyang Yao, Linchang Liu, Hanbing Liu, Xiang Li

“…This review summarizes the latest progress in enzyme preparation, including enzyme design and modification technology, exploration of new enzyme sources, and application of enzyme preparation in food processing, detection, and preservation. The directed evolution technology improved the stability and catalytic efficiency of enzymes, while enzyme immobilization technology enhanced reusability and industrial applicability. …”
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On-Demand Gait-Synchronous Electrical Cueing in Parkinson's Disease Using Machine Learning and Edge Computing: A Pilot Study by Ardit Dvorani, Constantin Wiesener, Christina Salchow-Hommen, Magdalena Jochner, Lotta Spieker, Matej Skrobot, Hanno Voigt, Andrea Kuhn, Nikolaus Wenger, Thomas Schauer

“…While sensor technology and machine learning offer real-time detection for on-demand cueing, existing systems are limited by the usage of smartphones between the sensor(s) and cueing device(s) for data processing. …”
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Small molecule modulation of protein corona for deep plasma proteome profiling by Ali Akbar Ashkarran, Hassan Gharibi, Seyed Amirhossein Sadeghi, Seyed Majed Modaresi, Qianyi Wang, Teng-Jui Lin, Ghafar Yerima, Ali Tamadon, Maryam Sayadi, Maryam Jafari, Zijin Lin, Danilo Ritz, David Kakhniashvili, Avirup Guha, Mohammad R. K. Mofrad, Liangliang Sun, Markita P. Landry, Amir Ata Saei, Morteza Mahmoudi

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Advancing Agricultural Machinery Maintenance: Deep Learning-Enabled Motor Fault Diagnosis by Xusong Bai, Qian Chen, Xiangjin Song, Weihang Hong

“…Condition monitoring and fault diagnosis of the agricultural machinery are critical for ensuring the safety and stability of agricultural production processes. Timely detection of machinery failures, particularly in motor-driven systems, is essential to prevent unexpected shutdowns, maintain operational continuity, and avoid economic losses. …”
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Escalate Prognosis of Parkinson’s Disease Employing Wavelet Features and Artificial Intelligence from Vowel Phonation by Rumana Islam, Mohammed Tarique

“…Speech signal processing-based PD detection can play a crucial role here, as it has been reported in the literature that PD affects the voice quality of patients at an early stage. …”
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Efficient IDS for IoT Networks Using Host-Based Data Aggregation and Multi-Entropy Analysis by Yusei Katsura, Arata Endo, Ismail Arai, Kazutoshi Fujikawa

“…This enables the reduction of computational resources during detection processing while maintaining detection accuracy, even when using fewer features and lightweight machine learning algorithms. …”
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Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction by D. Vamsidhar, Parth Desai, Sagar Joshi, Shrikrishna Kolhar, Nilkanth Deshpande, Shilpa Gite

“…Abstract Effective treatment for brain tumors relies on accurate detection because this is a crucial health condition. …”
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AI-enhanced real-time monitoring of marine pollution: part 1-A state-of-the-art and scoping review by Navya Prakash, Navya Prakash, Oliver Zielinski, Oliver Zielinski

“…Future research should improve Artificial Intelligence model generalization, integrate multi-sensor data and enhance real-time processing capabilities to create more efficient and scalable marine pollution detection systems.…”
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Vispro improves imaging analysis for Visium spatial transcriptomics by Huifang Ma, Xingyuan Zhang, Yilong Qu, Anru R. Zhang, Zhicheng Ji

“…To address this, we introduce Vispro, an end-to-end automated image processing tool optimized for 10× Visium data. Vispro includes modules for fiducial marker detection, image restoration, tissue region detection, and segmentation of disconnected tissue areas. …”
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Paralytic Shellfish Poisoning Outbreak—Oregon, United States, 2024 by Rosalie T. Trevejo, Matthew Hunter, Terran Gilbreath, Madison Walton, June E. Bancroft, Emilio E. DeBess, Dat Tran, Paul R. Cieslak

“…A rapid increase in PST levels over a short time presented challenges for the timely detection and closure of harvest areas. Rapid PST detection methods to supplement routine shellfish biotoxin monitoring could increase the timeliness of risk detection. …”
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Enhancing DDoS Attacks Mitigation Using Machine Learning and Blockchain-Based Mobile Edge Computing in IoT by Mahmoud Chaira, Abdelkader Belhenniche, Roman Chertovskih

“…Our results demonstrate that Transformer models achieve a superior detection accuracy of 99.78%, while RF follows closely with 99.62%, and LightGBM offers optimal efficiency for real-time detection. …”
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