Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death. by Irina Veith, Arianna Mencattini, Valentin Picant, Marco Serra, Marine Leclerc, Maria Colomba Comes, Fathia Mami-Chouaib, Jacques Camonis, Stéphanie Descroix, Hamasseh Shirvani, Fatima Mechta-Grigoriou, Gérard Zalcman, Maria Carla Parrini, Eugenio Martinelli

“…The emerging tumor-on-chip (ToC) approaches allow to address biomedical questions out of reach with classical cell culture techniques: in biomimetic 3D hydrogels they partially reconstitute ex vivo the complexity of the tumor microenvironment and the cellular dynamics involving multiple cell types (cancer cells, immune cells, fibroblasts, etc.). …”
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Wearing WHOOP More Frequently Is Associated with Better Biometrics and Healthier Sleep and Activity Patterns by Gregory J. Grosicki, Finnbarr Fielding, Jeongeun Kim, Christopher J. Chapman, Maria Olaru, William von Hippel, Kristen E. Holmes

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Beyond the Scalpel: Assessing ChatGPT's potential as an auxiliary intelligent virtual assistant in oral surgery by Ana Suárez, Jaime Jiménez, María Llorente de Pedro, Cristina Andreu-Vázquez, Víctor Díaz-Flores García, Margarita Gómez Sánchez, Yolanda Freire

“…Noteworthy advances in AI algorithms and large language models (LLM) have led to the development of natural generative language (NGL) systems such as ChatGPT. …”
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Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics by Gayatri Gogoi, Gayatri Gogoi, Sarangthem Dinamani Singh, Sarangthem Dinamani Singh, Devpratim Koch, Devpratim Koch, Emon Kalyan, Rashmi Rani Boro, Aradhana Devi, Hridoy Jyoti Mahanta, Hridoy Jyoti Mahanta, Pankaj Bharali, Pankaj Bharali

“…Unsupervised learning algorithms, including K-means and K-medoid clustering, were employed to categorize the data into four distinct clusters, revealing patterns of viral positivity and environmental conditions.ResultsCluster analysis indicated that seasonal variations and water quality characteristics significantly influenced SARS-CoV-2 positivity rates. …”
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Evaluation criteria of centralization options in the architecture of multicomputer systems with traps and baits by Antonina Kashtalian, Sergii Lysenko, Anatoliy Sachenko, Bohdan Savenko, Oleg Savenko, Andrii Nicheporuk

“…The analyzed works establish the main types of centralization used in the architecture of systems: centralized, partially centralized, partially decentralized, decentralized. …”
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Programmed cell death signatures-driven microglial transformation in Alzheimer’s disease: single-cell transcriptomics and functional validation by Mi-Mi Li, Ying-Xia Yang, Ya-Li Huang, Shu-Juan Wu, Wan-Li Huang, Li-Chao Ye, Ying-Ying Xu

“…An integrated machine learning framework, combining 12 algorithms was used to construct a PCDS model. The performance of PCDS was validated using multiple independent cohorts. …”
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Enhancing stone matrix asphalt performance with sugarcane bagasse ash: Mechanical properties and machine learning-based predictions using XGBoost and random forest by Hamed Khani Sanij, Rezvan Babagoli, Reza Mohammadi Elyasi

“…Additionally, the successful integration of ensemble ML algorithms provides a reliable framework for forecasting key performance metrics in asphalt engineering. …”
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Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data by T. Radke, S. Fuchs, C. Wilms, I. Polkova, I. Polkova, I. Polkova, M. Rautenhaus, M. Rautenhaus

“…<p>Detection of atmospheric features in gridded datasets from numerical simulation models is typically done by means of rule-based algorithms. Recently, the feasibility of learning feature detection tasks using supervised learning with convolutional neural networks (CNNs) has been demonstrated. …”
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ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications by A. Bellini, A. Bellini, A. Bellini, H. Diémoz, L. Di Liberto, G. P. Gobbi, A. Bracci, F. Pasqualini, F. Barnaba

“…<p>​​​​​​​Vertically resolved information on aerosol particles represents a key aspect in many atmospheric studies, including aerosol–climate interactions and aerosol impacts on air quality and human health. …”
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Associations of lung function impairment and biological aging with mortality and cardiovascular disease incidence: findings from UK biobank participants by Jiali Chen, Cheng Wang, Pengyu Duan, Yonghong Bi, Yao Meng, Weiyu Feng, Zhehao Jin, Hangbing Li, Huihui Wang, Xiaoyan Li, Kun Zuo, Xiangcheng Zhao, Longfei Li, Yuling Xing, Lan Luo, Yang Yu, Miao Yu, Muyan Cui, Bing Zhang

“…PhenoAgeAccel was calculated using algorithms based on clinical biomarkers, and frailty was evaluated according to five established criteria. …”
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Circadian clock disruption impairs immune oscillation in chronic endogenous hypercortisolism: a multi-level analysis from a multicentre clinical trialResearch in context by Valeria Hasenmajer, Emilia Sbardella, Francesca Sciarra, Chiara Simeoli, Claudia Pivonello, Filippo Ceccato, Riccardo Pofi, Marianna Minnetti, Flavio Rizzo, Davide Ferrari, Ilaria Bonaventura, Federica Barbagallo, Elisa Giannetta, Danilo Alunni Fegatelli, Simone Conia, Roberto Navigli, Giorgio Arnaldi, Carla Scaroni, Rosario Pivonello, Daniele Gianfrilli, Mary Anna Venneri, Andrea M. Isidori

“…Cosinor mixed effects model, rhythmicity algorithms and machine learning techniques were applied to the multi-level dataset. …”
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The association between metabolomic profiles of lifestyle and the latent phase of incident chronic kidney disease in the UK Population by Tingting Jin, Yunqi Wu, Siyi Zhang, Ya Peng, Yao Lin, Saijun Zhou, Hongyan Liu, Pei Yu

“…A total of 249 biological metabolites covering multiple categories were determined by the NMR Metabolomics Platform. Random forest algorithms and LASSO regression were employed to identify lifestyle-related metabolites. …”
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Aerosols in the Mixed Layer and Mid-Troposphere from Long-Term Data of the Italian Automated Lidar-Ceilometer Network (ALICENET) and Comparison with the ERA5 and CAMS Models by Annachiara Bellini, Henri Diémoz, Gian Paolo Gobbi, Luca Di Liberto, Alessandro Bracci, Francesca Barnaba

“…Through original ALICENET algorithms, we also derive long-term aerosol vertical layering data, including the mixed aerosol layer (MAL) and elevated aerosol layers (EALs) heights. …”
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