Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap! by Ioanna Chouvarda, Sara Colantonio, Ana S. C. Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou

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Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

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Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy by Qi Wan, Clifford Lindsay, Chenxi Zhang, Jisoo Kim, Xin Chen, Jing Li, Raymond Y. Huang, David A. Reardon, Geoffrey S. Young, Lei Qin

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CEST imaging combined with 1H-MRS reveal the neuroprotective effects of riluzole by improving neurotransmitter imbalances in Alzheimer’s disease mice by Yuanyu Shen, Xiaolei Zhang, Siqi Liu, Lijing Xin, Wentao Xuan, Caiyu Zhuang, Yue Chen, Beibei Chen, Xinhui Zheng, Renhua Wu, Yan Lin

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QUIET WARRIOR – Rationale and design: An ancillary study to the Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR) by Osama Dasa, Eileen Handberg, Damini Dey, Pinaki Sarder, Margaret C. Lo, Balaji K. Tamarappoo, Steven M. Smith, Leslee J. Shaw, C. Noel Bairey Merz, Carl J. Pepine

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Dynamic Associations of Change in Physical Activity and Change in Cognitive Function: Coordinated Analyses of Four Longitudinal Studies by Magnus Lindwall, Cynthia R. Cimino, Laura E. Gibbons, Meghan B. Mitchell, Andreana Benitez, Cassandra L. Brown, Robert F. Kennison, Steven D. Shirk, Alireza Atri, Annie Robitaille, Stuart W. S. MacDonald, Elizabeth M. Zelinski, Sherry L. Willis, K. Warner Schaie, Boo Johansson, Marcus Praetorius, Roger A. Dixon, Dan M. Mungas, Scott M. Hofer, Andrea M. Piccinin

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Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI by Fei Peng, Jiaxiang Xia, Fandong Zhang, Shiyu Lu, Hao Wang, Jiashu Li, Xinmin Liu, Yao Zhong, Jiahuan Guo, Yonghong Duan, Binbin Sui, Chuyang Ye, Yi Ju, Shuai Kang, Yizhou Yu, Xin Feng, Xingquan Zhao, Rui Li, Aihua Liu

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Effects of a periodic intermittent theta burst stimulation in Alzheimer’s disease by Yue Wu, Lu Wang, Kai Wang, Shanshan Zhou, Pan Wu, Yibing Yan, Ling Wei, Bensheng Qiu, Yanghua Tian, Zhi Geng, Xingqi Wu, Panpan Hu, Guixian Xiao, Gongjun Ji, Hesheng Liu

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Utility of 131I-HLX58-Der for the Precision Treatment: Evaluation of a Preclinical Radio-Antibody-Drug-Conjugate Approach in Mouse Models by Liu Y, Wang X, Zhang N, He S, Zhang J, Xu X, Song S

“…Yi Liu,1– 4,* Xiao Wang,1– 3,5,* Ni Zhang,1– 4,* Simin He,1– 4 Jianping Zhang,1– 4 Xiaoping Xu,1– 4 Shaoli Song1– 4 1Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, People’s Republic of China; 2Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, People’s Republic of China; 3Center for Biomedical Imaging, Fudan University, Shanghai, 200032, People’s Republic of China; 4Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, 200032, People’s Republic of China; 5State Key Laboratory of Vaccines for Infectious Diseases, Xiang an Biomedicine Laboratory & Center for Molecular Imaging and Translational Medicine, School of Public Health, Shenzhen Research Institute of Xiamen University, Xiamen University, Xiamen, 361102, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shaoli Song; Xiaoping Xu, Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, People’s Republic of China, Email shaoli-song@163.com; xxp0012@ustc.eduPurpose: None of the antibody-drug conjugates (ADCs) targeting Claudin 18.2 (CLDN18.2) have received approval from regulatory authorities due to their limited clinical benefits. …”
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Cognitively Stimulating Activities: Effects on Cognition across Four Studies with up to 21 Years of Longitudinal Data by Meghan B. Mitchell, Cynthia R. Cimino, Andreana Benitez, Cassandra L. Brown, Laura E. Gibbons, Robert F. Kennison, Steven D. Shirk, Alireza Atri, Annie Robitaille, Stuart W. S. MacDonald, Magnus Lindwall, Elizabeth M. Zelinski, Sherry L. Willis, K. Warner Schaie, Boo Johansson, Roger A. Dixon, Dan M. Mungas, Scott M. Hofer, Andrea M. Piccinin

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Multimodal neural correlates of childhood psychopathology by Jessica Royer, Valeria Kebets, Camille Piguet, Jianzhong Chen, Leon Qi Rong Ooi, Matthias Kirschner, Vanessa Siffredi, Bratislav Misic, BT Thomas Yeo, Boris C Bernhardt

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Automated Synthesis and Initial Evaluation of (4′-Amino-5′,8′-difluoro-1′H-spiro[piperidine-4,2′-quinazolin]-1-yl)(4-[18F]fluorophenyl)methanone for PET/MR Imaging of Inducible Nit... by Skye Hsin-Hsien Yeh, Wen-Sheng Huang, Chuang-Hsin Chiu, Chuan-Lin Chen, Hui-Ting Chen, Dae Yoon Chi, Zhengxing Ge, Tsung-Hsun Yu, Pao-Yeh Wang, Yu-Yeh Kuo, Chun-Tse Hung, Geng-Ying Li, Chi-Wei Chang

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Prolonged venous transit is associated with worse neurological recovery in successfully reperfused large vessel strokes by Janet Mei, Hamza Adel Salim, Dhairya A. Lakhani, Licia Luna, Aneri Balar, Mona Shahriari, Nathan Z. Hyson, Francis Deng, Adam A. Dmytriw, Adrien Guenego, Vaibhav Vagal, Victor C. Urrutia, Elisabeth B. Marsh, Hanzhang Lu, Risheng Xu, Rich Leigh, Dylan Wolman, Gaurang Shah, Benjamin Pulli, Kambiz Nael, Gregory W. Albers, Max Wintermark, Jeremy J. Heit, Tobias D. Faizy, Argye E. Hillis, Raf Llinas, Vivek Yedavalli

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Clinical impact of [18F]FDG-PET/CT in ARI0002h treatment, a CAR-T against BCMA for relapsed/refractory multiple myeloma by Inés Zugasti, Marta Tormo-Ratera, Aina Oliver-Caldés, Juan Carlos Soler-Perromat, Verónica González-Calle, David F. Moreno, Valentín Cabañas, Nieves López-Muñoz, Álvaro Bartolomé-Solanas, Marta Español-Rego, Juan Luis Reguera-Ortega, Laura Rosiñol, Lucía López-Corral, Natalia Tovar, Luis Gerardo Rodríguez-Lobato, Rosa Maria Alvarez Perez, Sara Varea, Eulàlia Olesti, Adolfo Gomez-Grande, Laura Frutos, Pilar Tamayo, Manel Juan, José M. Moraleda, Álvaro Urbano-Ispizua, E. Azucena González-Navarro, Joaquín Martínez-López, Maria-Victoria Mateos, Xavier Tomás, Xavier Setoain, Carlos Fernández de Larrea

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Grand Challenges at the Interface of Engineering and Medicine by Shankar Subramaniam, Metin Akay, Mark A. Anastasio, Vasudev Bailey, David Boas, Paolo Bonato, Ashutosh Chilkoti, Jennifer R. Cochran, Vicki Colvin, Tejal A. Desai, James S. Duncan, Frederick H. Epstein, Stephanie Fraley, Cecilia Giachelli, K. Jane Grande-Allen, Jordan Green, X. Edward Guo, Isaac B. Hilton, Jay D. Humphrey, Chris R Johnson, George Karniadakis, Michael R. King, Robert F. Kirsch, Sanjay Kumar, Cato T. Laurencin, Song Li, Richard L. Lieber, Nigel Lovell, Prashant Mali, Susan S. Margulies, David F. Meaney, Brenda Ogle, Bernhard Palsson, Nicholas A. Peppas, Eric J. Perreault, Rick Rabbitt, Lori A. Setton, Lonnie D. Shea, Sanjeev G. Shroff, Kirk Shung, Andreas S. Tolias, Marjolein C.H. van der Meulen, Shyni Varghese, Gordana Vunjak-Novakovic, John A. White, Raimond Winslow, Jianyi Zhang, Kun Zhang, Charles Zukoski, Michael I. Miller

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Experimental assessment of аdversarial attacks to the deep neural networks in medical image recognition by D. M. Voynov, V. A. Kovalev

“…This paper addresses the problem of dependence of the success rate of adversarial attacks to the deep neural networks on the biomedical image type and control parameters of generation of adversarial examples. …”
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A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images by Varun Srivastava, Ravindra Kumar Purwar

“…This paper presents a two-dimensional wavelet based decomposition algorithm for classification of biomedical images. The two-dimensional wavelet decomposition is done up to five levels for the input images. …”
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Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

“…The proposed algorithm employs Convolutional Neural Networks (CNNs) in the form of U-Net architecture, a renowned model for biomedical image segmentation. To address the issue of insufficient training data, data augmentation techniques have been implemented, enhancing the diversity and volume of the training set. …”
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Gestational exposure to environmental chemical mixtures and cognitive abilities in children: A pooled analysis of two North American birth cohorts by Jagadeesh Puvvula, Wei-Ting Hwang, Lawrence McCandless, Changchun Xie, Joseph M. Braun, Ann M. Vuong, Youssef Oulhote, Enrique F. Schisterman, Russell T. Shinohara, Linda Booij, Maryse F. Bouchard, Kristin Linn, Michael M. Borghese, Jean R. Seguin, Angelika Zidek, Christine Till, William Fraser, Kimberly Yolton, Kim M. Cecil, Jillian Ashley-Martin, Tye E. Arbuckle, Bruce Lanphear, Aimin Chen

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