As functionalities and levels of complexity in nanomaterials have increased, unprecedented control over microbes has been enabled, as well. In addition to being pathogens and relevant to the human microbiome, microbes are key players for sustainable biotechnology. To overcome current constraints, mechanistic understanding of nanomaterials' physicochemical characteristics and parameters at the nano-bio interface affecting nanomaterial-microbe crosstalk is required. In this Perspective, we describe key nanomaterial parameters and biological outputs that enable controllable microbe-nanomaterial interactions while minimizing design complexity. We discuss the role of biomolecule coronas, including the problem of nanoantibiotic resistance, and speculate on the effects of nanomaterial-microbe complex formation on the outcomes and fates of microbial pathogens. We close by summarizing our current knowledge and noting areas that require further exploration to overcome current limitations for next-generation practical applications of nanotechnology in medicine and agriculture.
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http://dx.doi.org/10.1021/acsnano.8b03241 | DOI Listing |
Angew Chem Int Ed Engl
January 2025
Southeast University, Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Institute of Advanced Materials and School of Chemistry and Chemical Engineering, 211189, Nanjing, CHINA.
In nature, organisms adapt to environmental changes through training to learn new abilities, offering valuable insights for developing intelligent materials. However, replicating this adaptive learning in synthetic materials presents a significant challenge. This study introduces a feasible approach to train liquid crystal elastomers (LCEs) by integrating a mechanophore tetraarylsuccinonitrile (TASN) into their main chain, addressing the challenge of enabling synthetic materials to exchange substances with their environment.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
February 2025
Cognitive Science Program, Indiana University, Bloomington, IN 47405.
Automation transformed various aspects of our human civilization, revolutionizing industries and streamlining processes. In the domain of scientific inquiry, automated approaches emerged as powerful tools, holding promise for accelerating discovery, enhancing reproducibility, and overcoming the traditional impediments to scientific progress. This article evaluates the scope of automation within scientific practice and assesses recent approaches.
View Article and Find Full Text PDFAnnu Rev Med
January 2025
Medical Oncology Department, Vall d'Hebron Barcelona Hospital Campus and Breast Cancer Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain; email:
Oral selective estrogen receptor degraders (SERDs) are pure estrogen receptor antagonists that have the potential to overcome common resistance mechanisms to endocrine therapy in estrogen receptor-positive breast cancer. There are currently five oral SERDs in published and ongoing clinical trials-elacestrant, camizestrant, giredestrant, imlunestrant, and amcenestrant-with more in development. They offer a reasonably well-tolerated oral therapy option with low discontinuation rates in studies.
View Article and Find Full Text PDFMater Horiz
January 2025
Key Laboratory of Polymer Processing Engineering of the Ministry of Education, National Engineering Research Center of Novel Equipment for Polymer Processing, Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, South China University of Technology, Guangzhou 510641, People's Republic of China.
Passive daytime radiative cooling offers a promising approach to address energy, environmental, and safety issues caused by global warming. However, the contradiction between high radiative cooling performance and long-lasting ultraviolet (UV) durability is a primary limitation at the current stage. Here, inspired by the ability of epidermal cells and palisade cells on the leaf surface to protect internal leaf structures (such as chloroplasts and nuclei) under drought and high-temperature conditions, a double-layer passive radiative cooling (PRC) porous membrane, which consists of an upper protective layer densely packed with highly ultraviolet-reflective inorganic particles and a bottom cooling layer doped with a variety of optically characterized inorganic particles, was developed to overcome these challenges.
View Article and Find Full Text PDFTransl Behav Med
January 2025
Slone Epidemiology Center at Boston University, 72 E Concord St, Boston, MA, USA.
Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transform health care, medicine, and population health through improved diagnoses, treatments, and patient care. However, the effectiveness of these technologies hinges on the quality and diversity of the data used to train them. Many datasets currently used in machine learning are inherently biased and lack diversity, leading to inaccurate predictions that may perpetuate existing health disparities.
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