Bacterial Infection

Attention-driven UNet enhancement for accurate segmentation of bacterial spore outgrowth in microscopy images.

Analyzing microscopy images of large growing cell samples using traditional methods is a complex and time-consuming process. In this work, we have developed an attention-driven UNet-enhanced model using deep learning techniques to efficiently quantify the position, area, and circularity of bacterial spores and vegetative cells from images containing more than 10,000 bacterial cells. Our attention-...

Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication.

Bio-instructive materials that intrinsically inhibit biofilm formation have significant anti-biofouling potential in industrial and healthcare settings. Since bacterial surface attachment is sensitive to surface topography, we experimentally surveyed 2176 combinatorially generated shapes embossed into polymers using an unbiased screen. This identified microtopographies that, in vitro, reduce colon...

Self-Driving and Detachable Lab-Microrobots Tailor Drug Delivery for Closed-Loop Stimulation of the Antitumor Immune Cycle.

Hypoxia arises in most solid tumors with insufficient blood flow, which hinders the delivery and efficacy of therapeutic agents to tumors. In this wor...

Melioidosis molecular diagnostics: An update.

Melioidosis, a fatal tropical disease, presents a wide array of clinical manifestations, including abscesses, pneumonia, septic shock, bacteraemia, os...

Trade-off between resistance and persistence in high cell density cultures.

Bacterial growth to high cell densities is commonly observed in infections, microbiomes, and biomanufacturing, yet there is limited understanding of h...

Prediction of Antibiotic Resistance Phenotypes and Minimum Inhibitory Concentrations in Using Machine Learning Analysis of Its Pan-Genome and Pan-Resistome Features.

Traditional experimental methods for determining antibiotic resistance phenotypes (ARPs) and minimum inhibitory concentrations (MICs) in bacteria are ...

Mucosal immune responses and intestinal microbiome associations in wild spotted hyenas (Crocuta crocuta).

Little is known about host-gut microbiome interactions within natural populations at the intestinal mucosa, the primary interface. We investigate asso...

Identification of bacterial infection types in decomposition stages at various temperatures using pathology images and artificial intelligence algorithms.

Bacterial infections present a significant threat to human health, and accurate identification of infection type is crucial for both clinical and fore...

Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria.

Availability of ultraportable chest x-ray (CXR) and advancements in artificial intelligence (AI)-enabled CXR interpretation are promising developments...

High-Throughput Analysis of Protein Adsorption to a Large Library of Polymers Using Liquid Extraction Surface Analysis-Tandem Mass Spectrometry (LESA-MS/MS).

Biomaterials play an important role in medicine from contact lenses to joint replacements. High-throughput screening coupled with machine learning has...

Widespread distribution of bacteria containing PETases with a functional motif across global oceans.

Accumulating evidence indicates that microorganisms respond to the ubiquitous plastic pollution by evolving plastic-degrading enzymes. However, the fu...

Tailoring Corynebacterium glutamicum for Sustainable Biomanufacturing: From Traditional to Cutting-Edge Technologies.

As the workhorse of industrial amino acid production, Corynebacterium glutamicum is the focus of this review, which provides a comprehensive overview ...

A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens.

Identifying protective antigens (PAs), i.e., targets for bacterial vaccines, is challenging as conducting in-vivo tests at the proteome scale is impra...

Multi-omics profiling of cross-resistance between ceftazidime-avibactam and meropenem identifies common and strain-specific mechanisms in clinical isolates.

is a highly versatile and resilient pathogen that can infect different tissues and rapidly develop resistance to multiple drugs. Ceftazidime-avibacta...

AI-Driven Antimicrobial Peptide Discovery: Mining and Generation.

ConspectusThe escalating threat of antimicrobial resistance (AMR) poses a significant global health crisis, potentially surpassing cancer as a leading...

Hyperspectral Imaging for Rapid Detection of Common Infected Bacteria Based on Fluorescence Effect.

The rapid and accurate detection of bacterial infections in wounds is crucial for clinical diagnosis. Traditional methods, such as bacterial culture a...

A solution to the postantibiotic era: phages as precision medicine.

Antibiotic-resistant bacterial infections pose a significant global health challenge. Phage therapy provides a promising alternative to antibiotics th...

Discovery of CYP1A1 Inhibitors for Host-Directed Therapy against Sepsis.

Bacterial sepsis remains a leading cause of death globally, exacerbated by the rise of multidrug resistance (MDR). Host-directed therapy (HDT) has eme...

Gut microbiota, metabolites, and pulmonary hypertension: Mutual regulation and potential therapies.

Pulmonary hypertension is a progressive condition characterized by increased pulmonary vascular pressure and resistance, ultimately leading to right h...

Towards establishing functional nitrogenase activities within plants.

Biological nitrogen fixation, catalyzed by nitrogenase, can convert atmospheric N₂ into NH₃ for plant growth. Legumes form symbioses with nitrogen-fix...