Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review by Catalina Gomez, Sue Min Cho, Shichang Ke, Chien-Ming Huang, Mathias Unberath

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Tissue specific LRRK2 interactomes reveal a distinct striatal functional unit. by Yibo Zhao, Nikoleta Vavouraki, Ruth C Lovering, Valentina Escott-Price, Kirsten Harvey, Patrick A Lewis, Claudia Manzoni

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Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learning. by Shan Gao, Amit K Chakraborty, Russell Greiner, Mark A Lewis, Hao Wang

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Retroviral integration process in the human genome: is it really non-random? A new statistical approach. by Alessandro Ambrosi, Claudia Cattoglio, Clelia Di Serio

“…This has drawn the attention of the scientific community to the molecular determinants of the retroviral integration process as well as to statistical methods to evaluate the genome-wide distribution of integration sites. …”
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Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis. by Cecilia Wieder, Clément Frainay, Nathalie Poupin, Pablo Rodríguez-Mier, Florence Vinson, Juliette Cooke, Rachel Pj Lai, Jacob G Bundy, Fabien Jourdan, Timothy Ebbels

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OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. by Raga Krishnakumar, Anne M Ruffing

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Nonequilibrium brain dynamics elicited as the origin of perturbative complexity. by Wiep Stikvoort, Eider Pérez-Ordoyo, Iván Mindlin, Anira Escrichs, Jacobo D Sitt, Morten L Kringelbach, Gustavo Deco, Yonatan Sanz Perl

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Estimating Mycobacterium tuberculosis transmission in a South African clinic: Spatiotemporal model based on person movements. by Nicolas Banholzer, Keren Middelkoop, Juane Leukes, Ernest Weingartner, Remo Schmutz, Kathrin Zürcher, Matthias Egger, Robin Wood, Lukas Fenner

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Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony. by Isaac J Stopard, Thomas S Churcher, Ben Lambert

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CleanSheet: Advancing backdoor attack techniques for deep neural networks with stealthy trigger embedding by Ahmed Bensaoud, Jugal Kalita

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Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model. by Gregory L Watson, Di Xiong, Lu Zhang, Joseph A Zoller, John Shamshoian, Phillip Sundin, Teresa Bufford, Anne W Rimoin, Marc A Suchard, Christina M Ramirez

“…The compartmental model uses this distribution and predicts deaths using a random forest algorithm trained on COVID-19 data and population-level characteristics, yielding daily projections and interval estimates for cases and deaths in U.S. states. We evaluated the model by training it on progressively longer periods of the pandemic and computing its predictive accuracy over 21-day forecasts. …”
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Orchard: Building large cancer phylogenies using stochastic combinatorial search. by Ethan Kulman, Rui Kuang, Quaid Morris

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Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. by Adrian J Green, Lisa Truong, Preethi Thunga, Connor Leong, Melody Hancock, Robyn L Tanguay, David M Reif

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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

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In-silico and in-vitro morphometric analysis of intestinal organoids. by Sandra Montes-Olivas, Danny Legge, Abbie Lund, Alexander G Fletcher, Ann C Williams, Lucia Marucci, Martin Homer

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Causal Inference for Spatial Constancy across Saccades. by Jeroen Atsma, Femke Maij, Mathieu Koppen, David E Irwin, W Pieter Medendorp

“…This process appears not to be flawless: during saccades, we often fail to detect whether visual objects remain stable or move, which is called saccadic suppression of displacement (SSD). How does the brain evaluate the memorized information of the presaccadic scene and the actual visual feedback of the postsaccadic visual scene in the computations for visual stability? …”
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Data-driven contact structures: From homogeneous mixing to multilayer networks. by Alberto Aleta, Guilherme Ferraz de Arruda, Yamir Moreno

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Benchmarking residue-resolution protein coarse-grained models for simulations of biomolecular condensates. by Alejandro Feito, Ignacio Sanchez-Burgos, Ignacio Tejero, Eduardo Sanz, Antonio Rey, Rosana Collepardo-Guevara, Andrés R Tejedor, Jorge R Espinosa

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Recent advances in explainable Machine Learning models for wildfire prediction by Abira Sengupta, Brendon J. Woodford

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Automatic text generation system for endangered languages based on conditional generative adversarial networks by Zhong Luo

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