23 papers · ranked by Valyu relevance
Junwei Liu, Xu Chen, Chong Wang, Tong Bai + 5 more
Recent advances in large language model agents offer the promise of automating end-to-end software development from natural language requirements. However, existing approaches largely adopt linear, waterfall-style pipelines, which oversimplify the iterative nature of real-world development and struggle with complex…
Sanderson Oliveira de Macedo
AI tools for programming are no longer just autocomplete or chat assistants: they organize themselves as development frameworks, with process, roles, artifacts and verification. Recent surveys map agents and LLMs for software engineering, but a study centered on the operational frameworks that turn these capabilities…
Aaron Simpson, Ben Jackson, Michael Rosenberg, Claire Willis
2.1### Development of the framework The development of the Framework included two stages, involving (i) a review of the literature to identify existing frameworks and current gaps, and (ii) consultation with Healthway and funded agencies and organisations. In our review of the literature, we searched scientific…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
Olivia A. King, Ella Ottrey, Michele Conlin, Sze Lin Yoong + 5 more
Background Building research capacity in health settings is essential for improving the relevance and application of health research. Rigorous evaluation of research capacity in health settings optimizes the development, implementation and improvement of such initiatives. Cooke’s 2005 framework was the earliest…
Qi Chwen Ong, Anita Pienkowska, Emina Obarcanin, Anne-Claire Stona + 5 more
Mobile health (mHealth) apps are widely used for noncommunicable disease prevention and self-management. However, their effectiveness and safety are undermined by substantial variation in content quality. Existing guiding frameworks primarily focus on user interface, functionality, and intervention delivery, with…
Authors not listed
We describe a collaborative research project spanning the disciplines of quantum hardware, quantum algorithms, conventional computational chemistry, synthetic medicinal chemistry and life sciences. Our project seeks to demonstrate an impact of quantum computing on human health. It is one of several funded by Wellcome…
O. Hawes, E. J. Cook, J. Williams, A. M. Chater
Introduction Emerging evidence suggests that human flourishing is not guaranteed, even in economically developed nations, with substantial disparities reported across populations and contexts. This highlights an urgent need for scalable, context-sensitive approaches that support flourishing and holistic wellbeing.…
Authors not listed
Designing molecules with specific target properties remains a fundamental challenge in computational chemistry. While existing approaches show promise, most rely on simplified representations like SMILES strings or 2D graphs that lack essential three-dimensional geometric information. We present EvoDiffMol, a…
Calder Robbins, Hyoungseo Son, Chun Kwang Tan, Cheryl Wang + 6 more
Physical human-device interaction is central to many emerging technologies in neurorehabilitation and assistive robotics, but simulation-based research in this area remains fragmented across musculoskeletal models, assistive-device representations, task definitions, and controller-development work-flows. This…
Petrus Lipsanen, Liisa Rannikko, François Christophe, Konsta Kalliokoski + 2 more
Generative AI (GenAI) is reshaping software engineering by shifting development from manual coding toward agent-driven implementation. While vibe coding promises rapid prototyping, it often suffers from architectural drift, limited traceability, and reduced maintainability. Applying the design science research (DSR)…
Marina Pozhidaeva, Stephan Schreiber, Kristin Schubert, Wibke Busch + 2 more
Toxicological omics studies require comprehensive metadata to support reproducibility, inter-operability, and regulatory reuse. However, metadata requirements differ across public repositories, reporting frameworks, and laboratory workflows, resulting in inconsistent annotation and limited data integration. To address…
Zhimeng Zhou, Yang Nan, Minjie Mou, Yuntao Qian + 16 more
Artificial intelligence (AI) is increasingly permeating the drug development pipeline. Numerous algorithms for accelerating this multi-stage and multi-task process have been constructed, which depends heavily on expert design and labor-intensive task-specific optimization. Given that AI-driven acceleration of drug…
Edward Ma, James Morrissey, Shutong Duan, Ziqi Lu + 10 more
Process optimization for Chinese hamster ovary (CHO) cell culture remains a challenge in biopharmaceutical development because multiple interacting parameters jointly influence productivity and product quality attributes. Traditional design-of-experiments (DoE) methods, while systematic, become impractically expensive…
Chen Chen, Yuanyuan Liu, Lei Wang, Jingyi Sai + 8 more
With the rapid accumulation of diverse omics datasets, achieving efficient management and integrative analysis of plant multi-omics data remains a major challenge. Conventional solutions rely on constructing web-based databases, which often demand substantial programming expertise and long-term financial support. To…
Authors not listed
Realizing the promise of artificial intelligence (AI) to accelerate scientific progress and deliver technological impact depends on how effectively AI can be integrated into real-world decision- making processes. As Peter Norvig states, “Somewhat remarkably, almost all AI research until very recently has assumed that…
Lorrae Mynard, Ellie Fossey, Genevieve Pepin, Louise Farnworth + 1 more
This scoping review has described the emergence of occupational formulation and its use in occupational therapy practice. The review identified some peer-reviewed literature reporting research or evaluation, with most sources being grey information and most originating from the United Kingdom or United States. Four…
Authors not listed
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…
Daniel Schuette, Laura K. Godfrey, Jessica Schneider, Sven Borchmann + 2 more
Cell-free DNA (cfDNA) fragmentomics is the analysis of a diverse set of cfDNA fragment features, e.g. fragment length profiles, windowed protection scores, and end motifs. As such it requires software tooling for fragment extraction, statistical feature modeling, and cohort-level comparative analysis. In silico…
Hu Wei
AI agent systems increasingly rely on reusable non-LLM engineering infrastructure that packages tool mediation, context handling, delegation, safety control, and orchestration. Yet the architectural design decisions in this surrounding infrastructure remain understudied. This paper presents a protocol-guided…
Tarlan Hasanli, Shahbaz Siddeeq, Bishwash Khanal, Pyry Kotilainen + 2 more
Large language models (LLMs) accelerate software development but often exhibit instability, non-determinism, and weak adherence to development discipline in unconstrained workflows. While test-driven development (TDD) provides a structured Red-Green-Refactor process, existing LLM-based approaches typically use tests as…
Eagon Meng, Abutalib Namazov, Carmel Schare, Alcino Cunha + 1 more
Adopting a single measure can improve the usability, modularity and accountability of software: a commitment to explicit meaning. This entails constructing and agreeing upon a representation of the behavior of the software, as observed in the domain of application. The phenomena comprising this behavior become a…
Authors not listed
RNA molecules fold into complex three-dimensional structures that determine their function. A wide range of mathematical frameworks, such as chord diagrams, fatgraphs, and context-free grammars, have been used to represent these structures; however, these models have largely been developed from mathematical motivations…