AIMC Topic: Artificial Intelligence

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Optimizing phage therapy with artificial intelligence: a perspective.

Frontiers in cellular and infection microbiology
Phage therapy is emerging as a promising strategy against the growing threat of antimicrobial resistance, yet phage and bacteria are incredibly diverse and idiosyncratic in their interactions with one another. Clinical applications of phage therapy o...

Neuro-symbolic procedural semantics for explainable visual dialogue.

PloS one
This paper introduces a novel approach to visual dialogue that is based on neuro-symbolic procedural semantics. The approach builds further on earlier work on procedural semantics for visual question answering and expands it with neuro-symbolic mecha...

Development of AI-integrated smartphone sponge-based sensors utilizing His@Co-NC nanozymes for highly sensitive sarcosine detection.

Biosensors & bioelectronics
The increasing demand for point-of-care detection of low-concentration cancer biomarkers has necessitated the development of innovative nanozyme-based sensing technologies. Here, a smartphone-integrated platform is presented that utilizes artificial ...

Improving brain tumor diagnosis: A self-calibrated 1D residual network with random forest integration.

Brain research
Medical specialists need to perform precise MRI analysis for accurate diagnosis of brain tumors. Current research has developed multiple artificial intelligence (AI) techniques for the process automation of brain tumor identification. However, existi...

Approach or avoidance? Relationship between perceived AI explainability and employee job crafting.

Acta psychologica
Amid growing concerns about the lack of transparency in algorithms, heightened focus has been placed on artificial intelligence (AI) explainability in workplace decision-making processes. This study leverages work design theory to explore when and ho...

Leveraging Hospital Information Data for Effective Antibiotic Stewardship.

Journal of Korean medical science
Clinical informatics has emerged as a valuable approach to enhance antimicrobial stewardship programs in healthcare settings. By integrating information technology with healthcare services, hospitals can systematically collect, store, and utilize med...

Continuous glucose monitoring combined with artificial intelligence: redefining the pathway for prediabetes management.

Frontiers in endocrinology
Prediabetes represents an early stage of glucose metabolism disorder with significant public health implications. Although traditional lifestyle interventions have demonstrated some efficacy in preventing the progression to type 2 diabetes, their lim...

A novel feature fusion and mountain gazelle optimizer based framework for the recognition of jute pests in sustainable agriculture.

Scientific reports
Sustainable agriculture is an approach that involves adopting and developing agricultural practices to increase efficiency and preserve resources, both environmentally and economically. Jute is one of the primary sources of income grown in many count...

Role of artificial intelligence in cancer drug discovery and development.

Cancer letters
The role of artificial intelligence (AI) in cancer drug discovery and development has garnered significant attention due to its potential to transform the traditionally time-consuming and expensive processes involved in bringing new therapies to mark...

Beyond purchase patterns: harnessing predictive analytics to anticipate unarticulated consumer needs.

Acta psychologica
As organizations transition toward data-driven strategies, the ability to anticipate unarticulated consumer needs has emerged as a critical frontier in strategic marketing. This study investigates how predictive analytics, when integrated with artifi...