Survival benefits of adjuvant chemotherapy after conversion surgery in patients with advanced pancreatic cancer by Yoon Suk Lee, Jang Won Lee, Hak Jun Kim, Jung Won Chun, Jong-Chan Lee, Dong Kee Jang, Jin-Hyeok Hwang, Young Ae Kim, Sang Myung Woo

Get full text

Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024) by Pascal Petit, Nicolas Vuillerme

“…Within this context, promoting AHD-based research, in conjunction with other digital data sources (eg, mobile health, social health data, and wearables) and artificial intelligence approaches, represents a promising avenue for future exploration.…”
Get full text

Modelling of structural, mechanical, electronic, and optical properties of Rb2TlXF6 (X = Ir, Rh) double perovskite compounds through density functional theory by Wasi Ullah, Nasir Rahman, Mudasser Husain, Wafa Mohammed Almalki, Khamael M. Abualnaja, Ghaida Alosaimi, Soufyane Belhachi, Bashar.M. Al-Khamiseh, Vineet Tirth, Ahmed Azzouz-Rached, Hanan A. Althobaiti, Farooq Ali

Get full text

Advanced tissue technologies of blood-brain barrier organoids as high throughput toxicity readouts in drug development by Luisa Bell, Claire Simonneau, Chiara Zanini, Elena Kassianidou, Christelle Zundel, Rachel Neff, Bernd Steinhuber, Marco Tecilla, Alex Odermatt, Roberto Villaseñor, Nadine Stokar-Regenscheit

“…We developed an artificial intelligence (AI) algorithm to increase the throughput and the reliability of histomorphologic evaluations of apoptosis for in vitro toxicity studies. …”
Get full text

Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

“…The introduction of remote sensing technologies and artificial intelligence models made it possible to base land cover mapping on satellite imagery in order to monitor changes, assess ecosystem health, support conservation efforts, and reduce monitoring time. …”
Get full text

Health recommender systems to facilitate collaborative decision-making in chronic disease management: A scoping review by Antonia Barbaric, Kenneth Christofferson, Susanne M Benseler, Chitra Lalloo, Alex Mariakakis, Quynh Pham, Joost F Swart, Rae S M Yeung, Joseph A Cafazzo

“…Given the increased use of these tools for personalized care, and especially with advancements in generative artificial intelligence, understanding the current methods and evaluation processes used is integral to optimizing their effectiveness. …”
Get full text

Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning (DL)) to build more efficient and reliable intrusion detection systems (IDSs). …”
Get full text

Connotation, research status, and development directions of clean coal geology in China by Yuegang TANG, Shaoqing WANG, Xiaoshuai WANG, Xin GUO, Yafeng WANG, Liping XUE, Harold H. Schobert

“…[Issues and Prospects] This study proposes some scientific and technical problems concerning coal formation, organic/inorganic elements, minerals, and clean assessment, positing that future advancements in chemistry, physics, biology, and big data/artificial intelligence (AI) will bring opportunities for the further development of clean coal geology and its applications in large-scale engineering. …”
Get full text

Brain compensatory activation during Stroop task in patients with mild cognitive impairment: a functional near-infrared spectroscopy study by Chenyu Fan, Hanfei Li, Hanfei Li, Ke Chen, Ke Chen, Guohui Yang, Hongyu Xie, Haozheng Li, Yi Wu, Meng Li, Meng Li, Meng Li

Get full text

SVM directed machine learning classifier for human action recognition network by Dharmanna Lamani, Pramod Kumar, A Bhagyalakshmi, J. Maria Shanthi, Lakshmana Phaneendra Maguluri, Mohammad Arif, C Dhanamjayulu, Sathish Kumar. K, Baseem Khan

Get full text

Cortical lesions impact cognitive decline in multiple sclerosis via volume loss of nonlesional cortex by Eva A. Krijnen, Maureen vanDam, Albulena Bajrami, Piet M. Bouman, Samantha Noteboom, Frederik Barkhof, Bernard M.J. Uitdehaag, Martijn D. Steenwijk, Eric C. Klawiter, Ismail Koubiyr, Menno M. Schoonheim

“…Regions were defined as either lesional or normal‐appearing cortex based on presence of a cortical lesion on artificial intelligence‐generated double inversion‐recovery scans. …”
Get full text

Unraveling complexity and leveraging opportunities in uncommon breast cancer subtypes by Fresia Pareja, Rohit Bhargava, Virginia F. Borges, Edi Brogi, Rita Canas Marques, Fatima Cardoso, Christine Desmedt, Malini Harigopal, Sunil R. Lakhani, Adrian Lee, Jose Pablo Leone, Hannah Linden, Christopher J. Lord, Caterina Marchio, Sofia D. Merajver, Emad Rakha, Jorge S. Reis-Filho, Andrea Richardson, Elinor Sawyer, Pepper Schedin, Christopher J. Schwartz, Andrew Tutt, Naoto T. Ueno, Anne Vincent-Salomon, Britta Weigelt, Y. Hannah Wen, Stuart J. Schnitt, Steffi Oesterreich

“…Novel methodologies, such as artificial intelligence may improve classification. Genetic predisposition plays roles in a subset of cases. …”
Get full text

Providing a General Model for the Successful Implementation of Digital Transformation in Organizations by Haidar Ahmadi, Najme Parsaei, Seyyed Hamed Hashemi, Hamidreza Nematollahi

“…Conclusion Digital transformation extends beyond the mere adoption of emerging technologies such as artificial intelligence and machine learning; it represents a paradigm shift in how traditional management and operational practices are conducted across various functions, including product development, engineering, marketing, sales, and service delivery. …”
Get full text

Development and validation of a prognostic prediction model for elderly gastric cancer patients based on oxidative stress biochemical markers by Xing-Qi Zhang, Ze-Ning Huang, Ju Wu, Chang-Yue Zheng, Xiao-Dong Liu, Ying-Qi Huang, Qi-Yue Chen, Ping Li, Jian-Wei Xie, Chao-Hui Zheng, Jian-Xian Lin, Yan-Bing Zhou, Chang-Ming Huang

“…Abstract Background The potential of the application of artificial intelligence and biochemical markers of oxidative stress to predict the prognosis of older patients with gastric cancer (GC) remains unclear. …”
Get full text

Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

Get full text

Adaptive Hierarchical Multi-Headed Convolutional Neural Network With Modified Convolutional Block Attention for Aerial Forest Fire Detection by Md. Najmul Mowla, Davood Asadi, Shamsul Masum, Khaled Rabie

“…Leveraging Explainable Artificial Intelligence (XAI) techniques, the model provides interpretable insights into decision-making processes.…”
Get full text

Photoreceptor metabolic window unveils eye–body interactions by Shaopeng Yang, Zhuoyao Xin, Weijing Cheng, Pingting Zhong, Riqian Liu, Ziyu Zhu, Lisa Zhuoting Zhu, Xianwen Shang, Shida Chen, Wenyong Huang, Lei Zhang, Wei Wang

“…To translate these insights into a practical tool, we developed an artificial intelligence (AI)-driven photoreceptor metabolic window framework and an accompanying interpreter that comprehensively captures the metabolic landscape of photoreceptor–systemic health linkages and simultaneously predicts 16 multisystem health outcomes beyond established approaches while retaining interpretability. …”
Get full text

Efficiency enhancement in main path extraction in mRNA vaccine field: A novel approach leveraging intermediate patents, with shielding origin and terminus patent edges by Ting Zhang, Zhongquan Jian, Juan Chen, Dongzi Xu, Xiaoyi Yang, Yan Lu, Shu Yan, Lizi Pan, Qingqiang Wu, Zhaolian Ouyang

Get full text

Research Progress in Monitoring Technology of Cold Chain Logistics for Meat Products by Bin HAN, Dongmei LENG, Yuqian XU, Jianyang SHEN, Xin LI, Xiaochun ZHENG, Wei WANG, Dequan ZHANG, Chengli HOU

“…Advanced technologies like big data, the internet of things, and artificial intelligence are becoming widely used as Industry 4.0 technology, which develops quickly. …”
Get full text

Meeting Report on “10th Anniversary Symposium on Inflammatory Skin Disease” by Shirin Emtenani, John F. Baines, Katja Bieber, Evelyn Gaffal, Stephanie Goletz, Gema Hernández, Misa Hirose, Markus Hoffmann, Pascal Joly, Henriette Kirchner, Jörg Köhl, Sripriya Murthy, Sabrina Patzelt, Frank Petersen, Manuela Pigors, Gabriela Riemekasten, Leon F. Schmidt-Jiménez, Tanya Sezin, Malte Spielmann, Diamant Thaçi, Nina van Beek, Jens Waschke, Ralf J. Ludwig, Enno Schmidt

Get full text