Interface-enhanced conductivities in surfactant-mediated, solution-grown ionic crystalline complexes by Jihua Chen, Jong Keum, Yangyang Wang, Hanyu Wang, Bradley Lokitz, Guang Yang, Yue Yuan, Rajeev Kumar, Rigoberto Advincula, Rigoberto Advincula

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On the purpose of meaningful human control of AI by Jovana Davidovic, Jovana Davidovic

Subjects: “…machine learning and AI…”
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Transition of electrochemical measurement to machine learning in the perspective of two-dimensional materials by Kulpavee Jitapunkul, Apiphu Chenwittayakhachon, Pawin Iamprasertkun

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Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis by Faseela Abdullakutty, Younes Akbari, Somaya Al-Maadeed, Ahmed Bouridane, Iman M. Talaat, Iman M. Talaat, Rifat Hamoudi, Rifat Hamoudi

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Strengths-weaknesses-opportunities-threats analysis of artificial intelligence in anesthesiology and perioperative medicine by Henry J. Paiste, Ryan C. Godwin, Ryan C. Godwin, Andrew D. Smith, Dan E. Berkowitz, Ryan L. Melvin

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Feature Importance in Machine Learning with Explainable Artificial Intelligence (XAI) for Rainfall Prediction by Patel Mehul, Shah Ankit

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Big data and artificial intelligence applied to blood and CSF fluid biomarkers in multiple sclerosis by Georgina Arrambide, Manuel Comabella, Carmen Tur

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Editorial: Artificial intelligence for smart health: learning, simulation, and optimization by Bing Yao, Nathan Gaw, Hyo Kyung Lee

Subjects: “…machine learning and AI…”
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Speaking of sepsis: semantics, syntax, and slang by Tim J. J. Inglis, Tim J. J. Inglis, Tim J. J. Inglis

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Learning-driven Data Fabric Trends and Challenges for cloud-to-thing continuum by Praveen Kumar Donta, Chinmaya Kumar Dehury, Yu-Chen Hu

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Gamification for Machine Learning in Surgical Patient Engagement by Jeremy A. Balch, Philip A. Efron, Azra Bihorac, Azra Bihorac, Tyler J. Loftus, Tyler J. Loftus

Subjects: “…machine learning and AI…”
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Statistical biopsy: An emerging screening approach for early detection of cancers by Gregory R. Hart, Vanessa Yan, Bradley J. Nartowt, David A. Roffman, Gigi Stark, Wazir Muhammad, Jun Deng

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Advances in computational frameworks in the fight against TB: The way forward by Akshayata Naidu, Smruti Sudha Nayak, Sajitha Lulu S, Vino Sundararajan

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Empowering precision medicine: regenerative AI in breast cancer by Sudip Bhattacharya, Sheikh Mohd Saleem, Alok Singh, Sukhpreet Singh, Shailesh Tripathi

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EdeepSADPr: an extensive deep-learning architecture for prediction of the in situ crosstalks of serine phosphorylation and ADP-ribosylation by Haoqiang Jiang, Haoqiang Jiang, Shipeng Shang, Yutong Sha, Lin Zhang, Ningning He, Lei Li, Lei Li

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Editorial: Artificial Intelligence Applications in Specialty Crops by Sri Charan Kakarla, Zhicheng Zhu, Yiannis Ampatzidis, Spyros Fountas, Reza Ehsani, Panos Pardalos

Subjects: “…machine learning and AI…”
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Deep learning for MYC binding site recognition by R. Fioresi, P. Demurtas, G. Perini

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Editorial: Recent developments in aerodynamics by Arash Shams Taleghani, Farschad Torabi

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Editorial: Women in critical zone science by Bhavna Arora, Erin Seybold, Lixin Jin

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Preparing for the next pandemic: Simulation-based deep reinforcement learning to discover and test multimodal control of systemic inflammation using repurposed immunomodulatory age... by Chase Cockrell, Dale Larie, Gary An

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