Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug–target interactions from big data, enabling more accurate predictions and novel hypothesis generation. The union of MIDD with AI enables pharmaceutical researchers to optimize drug candidate selection, dosage regimens, and treatment strategies through virtual trials to help derisk drug candidates. …”
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Hybrid Decision-Making Frameworks under Complex Spherical Fuzzy N-Soft Sets by Muhammad Akram, Maria Shabir, Ahmad N. Al-Kenani, José Carlos R. Alcantud

“…This paper presents the novel concept of complex spherical fuzzy N-soft set (CSFNSfS) which is capable of handling two-dimensional vague information with parameterized ranking systems. …”
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A New Complexity Index in Implant Dentistry: Position Statement of the Implant Dentistry Study Consortium by Souheil Hussaini, Paulina Szylin, Malini Thomas

“…This article proposes the IDSC Complexity Index, a novel classification system. Materials and Methods: A retrospective study was conducted using data collected from 4,201 patients who underwent 20,154 dental implant procedures between January 2002 and October 2024. …”
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Unveiling the future: Wavelet- ARIMAX analysis of climate and diarrhea dynamics in Bangladesh’s Urban centers by Md. Waliullah, Md. Jamal Hossain, Md. Raqibul Hasan, Abdul Hannan, Mohammad Mafizur Rahman

“…Methods We deploy the novel approach of Wavelet-Autoregressive Integrated Moving Average with Exogenous Variable (WARIMAX) and the traditional Autoregressive Integrated Moving Average with Exogenous Variable (ARIMAX) technique to forecast the incidence of diarrhea by analyzing the influence of climate factors. …”
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MARKETING EVOLUTION: FROM TRADITIONAL TO WEB 3.0 by Andriy Melnyk

“…The advent of Web 3.0 technologies, including blockchain, tokenization, and decentralized applications, has engendered novel options for individualized, trust-centric interactions between customers and marketers. …”
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Pharmaceutical Humanities and Narrative Pharmacy: An Emerging New Concept in Pharmacy by Mita Banerjee, Thomas Efferth

“…The ever-growing intersection between science and society fosters the emergence of novel interdisciplinary fields of research. During the past decade, Medical Humanities arose to meet the need to unravel hidden information beyond technology-driven and fact-based medicine. …”
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ADAM-multi: software to simulate complex breeding programs for animals and plants with different ploidy levels and generalized genotypic effect models to account for multiple allel... by Thinh Tuan Chu, Thinh Tuan Chu, Just Jensen

“…In the version of ADAM-Multi, we employ a novel simulation model capable of simulating additive, dominance, and epistatic genotypic effects for species with different levels of ploidy, providing with a more realistic assumption of multiple allelism for QTL variants. …”
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Temporal Analysis of Changes in Anthropogenic Emissions and Urban Heat Islands during COVID-19 Restrictions in Gauteng Province, South Africa by Lerato Shikwambana, Mahlatse Kganyago, Paidamwoyo Mhangara

“…Recently, national lockdown regulations restricting movement and socio-economic activities to curb the spread of a novel COVID-19 and the associated deaths have been implemented in various countries worldwide. …”
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FAMHE-Net: Multi-Scale Feature Augmentation and Mixture of Heterogeneous Experts for Oriented Object Detection by Yixin Chen, Weilai Jiang, Yaonan Wang

“…To address these challenges, this paper introduces a novel deep-learning framework, FAMHE-Net, for enhancing object detection in remote sensing images. …”
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Understanding Social Relationships with Person-Pair Relations by Hang Zhao, Haicheng Chen, Leilai Li, Hai Wan

“…Therefore, this paper proposes a novel end-to-end trainable Person-Pair Relation Network (PPRN), which is a GRU-based graph inference network, to first extract the visual and position information as the person-pair feature information, then enable it to transfer on a fully-connected social graph, and finally utilizes different aggregators to collect different kinds of person-pair information. …”
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Lithium Battery Life Prediction for Electric Vehicles Using Enhanced TCN and SVN Quantile Regression by Xinyue Li, Jiangwei Chu

“…Furthermore, it proceeds to integrate self-coding neural networks with temporal convolutional networks for the purpose of processing and extracting battery life data, and finally proposes a novel prediction model. The outcomes of the experiment demonstrate that when the width parameter is 0.75 and the penalty coefficient is 1, the battery health prediction accuracy of this new model is up to 88%, the remaining life prediction accuracy is up to 95.41%, and the number of battery capacity degradation times is up to 340, which is up to 45 times more than the number of the same type of model. …”
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Design and Analysis of Nanoscaled Recessed-S/D SOI MOSFET-Based Pseudo-NMOS Inverter for Low-Power Electronics by Anjali Priya, Nilesh Anand Srivastava, Ram Awadh Mishra

“…In this structure, the novel concept of backchannel inversion has been utilized for the study of device performance. …”
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A Clinical Study on Initial Experience of COVID-19 ARDS in Obstetric Patients at a Tertiary Care Centre in India by Sheeba Marwah, Reenu Kanwar, Shahida Naghma, Anjali Dabral, Nitesh Gupta

“…Coronavirus disease 2019 (COVID-19) is caused by a novel coronavirus (severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)) which causes severe viral pneumonia rapidly leading to acute respiratory distress syndrome (ARDS). …”
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Was Aristotle right about moral decision-making? Building a new empirical model of practical wisdom. by Shane McLoughlin, Stephen Thoma, Kristján Kristjánsson

“…This article presents the development and validation of the Short Phronesis Measure (SPM), a novel tool to assess Aristotelian phronesis (practical wisdom). …”
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Learning under label noise through few-shot human-in-the-loop refinement by Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad

“…In this paper, we propose a novel solution to address noisy label learning, entitled Few-Shot Human-in-the-Loop Refinement (FHLR). …”
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Food Insecurity and Coping Strategies in War-Affected Urban Settings of Tigray, Ethiopia by Hafte Gebreselassie Gebrihet, Yibrah Hagos Gebresilassie, Mekonen Aregai Gebreselassie

“…These findings underscore the urgent need for targeted policy interventions that address the specific vulnerabilities of female-headed households and ensure the development of sustainable coping strategies to mitigate the long-term effects of food insecurity in war-affected urban settings. This study offers novel insights into the urban dimensions of food insecurity and coping strategies in post-conflict settings.…”
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Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…This study presents a novel hybrid genetic artificial hummingbird algorithm-support vector machine classifier to detect power theft. …”
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Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh, Raja Rajeswary Suppiah

“…This study showcases a novel model that is explicitly presented, interpretable and physically validated, making the model suitable for integration into software applications. …”
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An Effective Approach for Modular Community Detection in Bipartite Network Based on Integrating Rider with Harris Hawks Optimization Algorithms by Bader Fahad Alkhamees, Mogeeb A. A. Mosleh, Hussain AlSalman, Muhammad Azeem Akbar

“…In this paper, we propose a novel Rider-Harris Hawks Optimization (RHHO) algorithm for community detection in a bipartite network through node similarity. …”
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Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model by Gabriel A. A. Monteiro, Bruno A. A. Monteiro, Jefersson A. dos Santos, Alexander Wittemann

“…The subdivisions of the particles are organized into sets, which presents a novel approach in this field. These sets collate data derived from a large ensemble of specific particle domains indicating to which particle each subdomain belongs. …”
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