Research Radar

Nationwide real-world implementation of AI for cancer detection in population-based mammography screening

Abstract Artificial intelligence (AI) in mammography screening has shown promise in retrospective evaluations, but few prospective studies exist. PRAIM is an observational, multicenter, real-world, noninferiority, implementation study co...

165

Toward expert-level medical question answering with large language models

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Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics

Abstract Single-cell proteomics (SCP) promises to revolutionize biomedicine by providing an unparalleled view of the proteome in individual cells. Here, we present a high-sensitivity SCP workflow named Chip-Tip, identifying >5,00...

106

Easy and accurate protein structure prediction using ColabFold

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AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators

The authors’ central premise is that a human–LLM (large language model) hybrid approach leads to efficiency and effectiveness gains in the marketing research process. In qualitative research, they show that LLMs can assist in both data generation ...

126

Strategic Human Resource Management in the Era of Algorithmic Technologies: Key Insights and Future Research Agenda

ABSTRACTThis article presents a contemporary review of human resource management (HRM) research on algorithmic technologies, including artificial intelligence, machine learning, and natural language processing. By connecting these recent advanceme...

ML-powered Internet of Medical Things (MLIoMT) Structure for Heart Disease Prediction

Background ML-powered Internet of Medical Things (MLIoMT) is a burgeoning framework poised to transform healthcare, particularly in the timely identification of heart disease. Objectives This article proposes an innovative MLIoMT structure aimed a...

153

Software Update: The ORCA Program System—Version 6.0

ABSTRACTVersion 6.0 of the ORCA quantum chemistry program suite was released in July 2024. ORCA 6.0 is a major turning point in the history of the program since it represents a near complete rewrite of the code base that leads to: (1) major perfor...

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Plant Growth-Promoting Microbes for Resilient Farming Systems: Mitigating Environmental Stressors and Boosting Crops Productivity—A Review

This review delves into the role of plant growth-promoting microbes (PGPMs) in sustainable agriculture by enhancing soil health, improving plant stress tolerance, and controlling diseases. PGPMs, which include bacteria, fungi, and other microorgan...

124

Virtual Reality, Augmented Reality, and Mixed Reality in Experiential Learning: Transforming Educational Paradigms

Virtual reality (VR), augmented reality (AR), and mixed reality (MR) have impacts on experiential learning, redefining educational paradigms through immersive and interactive environments. By integrating extended reality (XR) technologies, learner...

120

Structured Chain-of-Thought Prompting for Code Generation

Large Language Models (LLMs) have shown impressive abilities in code generation. Chain-of-Thought (CoT) prompting is the state-of-the-art approach to utilizing LLMs. CoT prompting asks LLMs first to generate CoTs (i.e., intermediate natural langua...

115

Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions

With the introduction of Cyber-Physical Systems (CPS) and Internet of Things (IoT) technologies, the automation industry is undergoing significant changes, particularly in improving production efficiency and reducing maintenance costs. Industrial ...

Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey

Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and structural inequalities. Unfortunately, most work in this space provi...

An Empirical Study of the Non-Determinism of ChatGPT in Code Generation

There has been a recent explosion of research on Large Language Models (LLMs) for software engineering tasks, in particular code generation. However, results from LLMs can be highly unstable; non-deterministically returning very different code for...

160

Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics applications

The widespread adoption of AI-powered business analytics applications has revolutionized decision-making, yet it has also introduced significant challenges related to algorithmic bias, data ethics, and governance. As organizations increasingly rel...

Metal–organic framework-based smart stimuli-responsive drug delivery systems for cancer therapy: advances, challenges, and future perspectives

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Design of catalysts for selective CO2 hydrogenation

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Engagement, user satisfaction, and the amplification of divisive content on social media

Abstract Social media ranking algorithms typically optimize for users’ revealed preferences, i.e. user engagement such as clicks, shares, and likes. Many have hypothesized that by focusing on users’ revealed preferences, these algor...

101

RETRACTED: Artificial Intelligence in Natural Product Drug Discovery: Current Applications and Future Perspectives

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Mass-spectrometry-based proteomics: from single cells to clinical applications

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