INTELLECTUAL PROPERTY IN THE AI ERA: ENSURING EQUITABLE ACCESS TO MEDICAL INNOVATIONS by Cecep Mustafa, Rita Komalasari

“…The integration of Artificial Intelligence (AI) into the medical field has catalyzed groundbreaking innovations in diagnostics, treatment, and drug discovery, but it also presents complex challenges for intellectual property (IP) law. …”
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Early Detection of Parkinson’s Disease Using AI Techniques and Image Analysis by Marilena Ianculescu, Corina Petean, Virginia Sandulescu, Adriana Alexandru, Ana-Mihaela Vasilevschi

“…Background: Parkinson’s disease (PD) diagnosis benefits significantly from advancements in artificial intelligence (AI) and image processing techniques. This paper explores various approaches for processing hand-drawn Archimedean spirals in order to detect signs of PD. …”
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Mental Health, AI-based Care Robots and Faire Access to Healthcare by Mario Kropf

“…This article deals with an ethical analysis of mental health in the context of AI-based care robots. Robot companions in the care sector are increasingly being used, and this trend will continue in the near future. …”
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Green AI: Navigating sustainability and environmental impact from an Indian perspective by Martin Natasha, Sharma Vishnu

“…The present study shall be focused on analysing AI-related developments taking place in Western countries and exploring ways in which AI applications can be introduced in India in an environmentally sustainable manner.…”
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Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code by Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide, Chloe Loughridge, Zifan Carl Guo, Tara Rezaei Kheirkhah, Mateja Vukelić, Max Tegmark

“…Can we turn AI black boxes into code? Although this mission sounds extremely challenging, we show that it is not entirely impossible by presenting a proof-of-concept method, MIPS, that can synthesize programs based on the automated mechanistic interpretability of neural networks trained to perform the desired task, auto-distilling the learned algorithm into Python code. …”
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Mobile Fog AI for Internet of BattleField Things (IoBT) by Sheuli Paul, Marius Silaghi, Veton Kepuska, Akram Alghanmi, Steven Liu

“…We present a novel concept, i.e., Mobile Fog AI for IoBT to overcome existing IoBT limitations.…”
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Enhancing transportation agility through neuroadaptive AI and behavioural decision intelligence by Eias Al Humdan

“…Crucially, the framework incorporates a reinforcement learning element, forming a continuous feedback loop that refines AI responses based on user behaviour and system performance. …”
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An AI-Based Approach for the Assessment of the Lost Efficiencies of a PVT Plant by Stefano Aneli, Giuseppe M. Tina, Bekkay Hajji, Safae Morgoum, Antonio Gagliano

“…This work presents an innovative application of AI for both the forecasting and the diagnostic of the performance of a PVT plant. …”
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Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism. by Mohd Nazim, Ali Abbas Falah Alzubi

“…This study intends to empower English as a Foreign Language (EFL) teachers' perceptions of generative artificial intelligence (AI)-mediated self-professionalism in engagement, attitudes, constraints, and solutions. …”
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Advanced Ai Tools for Predicting Mechanical Properties of Self-Compacting Concrete by AGRAWAL Achal, CHANDAK Narayan

“…The present study utilizes advanced numerical evaluation techniques like Artificial Intelligence (AI), including Support Vector Machines (SVM), Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference Systems with Genetic Algorithms (ANFIS-GA), Gene Expression Programming (GEP), and Multiple Linear Regression (MLR) to develop and compare the predictive models for determination of compressive and tensile strength. …”
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Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare by Nargish Parvin, Sang Woo Joo, Jae Hak Jung, Tapas K. Mandal

“…Despite its promise, the integration of AI into clinical practice presents challenges such as ensuring data security, meeting regulatory standards, and promoting algorithmic transparency. …”
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Defining and Analyzing Nervousness Using AI-Based Facial Expression Recognition by Hyunsoo Seo, Seunghyun Kim, Eui Chul Lee

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Artificial Intelligence in Revolutionizing Kidney Care and Beyond: Kid-AI Revolution by Kounaina Khan, Farhan Zameer, Pratheek Jain, Ravi KR, Vidya Niranjan, Manoj S, Ravish H, Subrahmanya Padyana

“…The collaboration between computer engineers, renal specialists, and nephropathologists has led to the development of AI- assisted technology, presenting promising avenues for renal pathology diagnoses, disease prediction, treatment effectiveness assessment, and outcome prediction. …”
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ROSIE: AI generation of multiplex immunofluorescence staining from histopathology images by Eric Wu, Matthew Bieniosek, Zhenqin Wu, Nitya Thakkar, Gregory W. Charville, Ahmad Makky, Christian M. Schürch, Jeroen R. Huyghe, Ulrike Peters, Christopher I. Li, Li Li, Hannah Giba, Vivek Behera, Arjun Raman, Alexandro E. Trevino, Aaron T. Mayer, James Zou

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Choice Vectors: Streamlining Personal AI Alignment Through Binary Selection by Eleanor Watson, Minh Nguyen, Sarah Pan, Shujun Zhang

“…Value alignment for AI is not “one-size-fits-all”: even polite and friendly models can still fail to represent individual user contexts and preferences, and local cultural norms. …”
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Human-Centered AI for Migrant Integration Through LLM and RAG Optimization by Dagoberto Castellanos-Nieves, Luis García-Forte

“…Traditionally, the focus on algorithms alone has shifted toward a more comprehensive understanding of AI’s potential to shape technology in ways which better serve human needs, particularly for disadvantaged groups. …”
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Personal experience with AI-generated peer reviews: a case study by Nicholas Lo Vecchio

“…Abstract Background While some recent studies have looked at large language model (LLM) use in peer review at the corpus level, to date there have been few examinations of instances of AI-generated reviews in their social context. The goal of this first-person account is to present my experience of receiving two anonymous peer review reports that I believe were produced using generative AI, as well as lessons learned from that experience. …”
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The convergence of AI and portfolio optimization: A bibliometric exploration of research trends by Abhidha Verma

“…This paper endeavors to present an exhaustive synthesis of the most recent advancements and innovations within the domain of portfolio optimization, particularly as influenced by progressive developments in AI, ML and DL from 1996 to 2024. …”
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AI-Assisted Real-Time Monitoring of Infectious Diseases in Urban Areas by Mohammed M. Alwakeel

“…With the increasing availability of real-time health data, artificial intelligence (AI) has emerged as a powerful tool for disease monitoring, anomaly detection, and outbreak prediction. …”
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Development and validation of the conversational AI dependence scale for Chinese college students by Yuanyuan Chen, Mengyun Wang, Shujuan Yuan, Yan Zhao

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