Advances and applications of nanophotonic biosensors

Nature Nanotechnology, Год журнала: 2022, Номер 17(1), С. 5 - 16

Опубликована: Янв. 1, 2022

Язык: Английский

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Precision medicine in the era of artificial intelligence: implications in chronic disease management

Journal of Translational Medicine, Год журнала: 2020, Номер 18(1)

Опубликована: Дек. 1, 2020

Abstract Aberrant metabolism is the root cause of several serious health issues, creating a huge burden to and leading diminished life expectancy. A dysregulated induces secretion molecules which in turn trigger inflammatory pathway. Inflammation natural reaction immune system variety stimuli, such as pathogens, damaged cells, harmful substances. Metabolically triggered inflammation, also called metaflammation or low-grade chronic consequence synergic interaction between host exposome—a combination environmental drivers, including diet, lifestyle, pollutants other factors throughout span an individual. Various levels inflammation are associated with lifestyle-related diseases diabetes, obesity, metabolic fatty liver disease (MAFLD), cancers, cardiovascular disorders (CVDs), autoimmune diseases, lung diseases. Chronic growing concern worldwide, placing heavy on individuals, families, governments, health-care systems. New strategies needed empower communities worldwide prevent treat these Precision medicine provides model for next generation lifestyle modification. This will capitalize dynamic individual’s biology, behavior, environment. The aim precision design improve diagnosis, therapeutics prognostication through use large complex datasets that incorporate individual gene, function, variations. implementation high-performance computing (HPC) artificial intelligence (AI) can predict risks greater accuracy based available multidimensional clinical biological datasets. AI-powered clinicians opportunity specifically tailor early interventions each In this article, we discuss strengths limitations existing evolving recent, data-driven technologies, AI, preventing, treating reversing

Язык: Английский

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Functional Fiber Materials to Smart Fiber Devices

Chemical Reviews, Год журнала: 2022, Номер 123(2), С. 613 - 662

Опубликована: Авг. 17, 2022

The development of fiber materials has accompanied the evolution human civilization for centuries. Recent advances in science and chemistry offered fibers new applications with various functions, including energy harvesting, storing, displaying, health monitoring treating, computing. unique one-dimensional shape devices endows them advantages to work as human-interfaced electronics due small size, lightweight, flexibility, feasibility integration into large-scale textile systems. In this review, we first present a discussion basics design principles devices, followed by comprehensive analysis on recently developed devices. Finally, provide current challenges facing field give an outlook future research directions. With novel continuing be discovered after two decades research, envision that could have important impact our life near future.

Язык: Английский

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Nano-Based Approved Pharmaceuticals for Cancer Treatment: Present and Future Challenges

Biomolecules, Год журнала: 2022, Номер 12(6), С. 784 - 784

Опубликована: Июнь 4, 2022

Cancer is one of the main causes death worldwide. To date, and despite advances in conventional treatment options, therapy cancer still far from optimal due to non-specific systemic biodistribution antitumor agents. The inadequate drug concentrations at tumor site led an increased incidence multiple resistance appearance many severe undesirable side effects. Nanotechnology, through development nanoscale-based pharmaceuticals, has emerged provide new innovative drugs overcome these limitations. In this review, we overview approved nanomedicine for rationale behind their designs applications. We also highlight approaches that are currently under investigation perspectives challenges nanopharmaceuticals, focusing on microenvironment disseminate cells as most attractive effective strategies treatments.

Язык: Английский

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Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Апрель 25, 2022

Abstract How individual differences in brain network organization track behavioral variability is a fundamental question systems neuroscience. Recent work suggests that resting-state and task-state functional connectivity can predict specific traits at the level. However, most studies focus on single traits, thus not capturing broader relationships across behaviors. In large sample of 1858 typically developing children from Adolescent Brain Cognitive Development (ABCD) study, we show predictive features are distinct domains cognitive performance, personality scores mental health assessments. On other hand, within each domain predicted by similar features. Predictive models generalize to measures same domain. Although tasks known modulate connectome, between resting task states. Overall, our findings reveal shared account for variation broad behavior childhood.

Язык: Английский

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Textile Triboelectric Nanogenerators for Wearable Pulse Wave Monitoring

Trends in biotechnology, Год журнала: 2021, Номер 39(10), С. 1078 - 1092

Опубликована: Фев. 5, 2021

Язык: Английский

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Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends

Journal of Clinical Medicine, Год журнала: 2022, Номер 11(22), С. 6826 - 6826

Опубликована: Ноя. 18, 2022

Background: Thanks to the rapid development of computer-based systems and deep-learning-based algorithms, artificial intelligence (AI) has long been integrated into healthcare field. AI is also particularly helpful in image recognition, surgical assistance basic research. Due unique nature dermatology, AI-aided dermatological diagnosis based on recognition become a modern focus future trend. Key scientific concepts review: The use 3D imaging allows clinicians screen label skin pigmented lesions distributed disorders, which can provide an objective assessment documentation lesion sites. Dermatoscopes combined with intelligent software help dermatologist easily correlate each close-up corresponding marked body map. In addition, field prosthetics assist rehabilitation patients restore limb function after amputation tumors. aim study: For benefit patients, dermatologists have obligation explore opportunities, risks limitations applications. This study focuses application emerging dermatology aid clinical treatment, analyzes current state summarizes its trends prospects so as realize impact new technological innovations traditional practices that they embrace AI-based medical approaches more quickly.

Язык: Английский

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Selective Laser Sintering (SLS), a New Chapter in the Production of Solid Oral Forms (SOFs) by 3D Printing

Pharmaceutics, Год журнала: 2021, Номер 13(8), С. 1212 - 1212

Опубликована: Авг. 6, 2021

3D printing is a new emerging technology in the pharmaceutical manufacturing landscape. Its potential advantages for personalized medicine have been widely explored and commented on literature over recent years. More recently, selective laser sintering (SLS) technique has investigated oral drug-delivery applications. Thus, this article reviews work that conducted SLS preparation of solid forms (SOFs) from 2017 to 2020 discusses opportunities challenges state-of-the-art precision medicine. Overall, 14 research articles reviewed report use printers equipped with blue diode (445–450 nm). The review highlights printability materials, although an important aspect understanding process only properly one article. modulation porosity printed materials appears be most interesting outcome Generally, shows great improve compliance within fragile populations. inclusion “Quality by Design” tools studies could facilitate deployment clinical practice, particularly where Good Manufacturing Practices (GMPs) 3D-printing processes do not currently exist. Nevertheless, drug stability powder recycling remain challenging SLS. These hurdles overcome collaboration between industries compounding pharmacies.

Язык: Английский

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Advancing Precision Medicine: A Review of Innovative In Silico Approaches for Drug Development, Clinical Pharmacology and Personalized Healthcare

Pharmaceutics, Год журнала: 2024, Номер 16(3), С. 332 - 332

Опубликована: Фев. 27, 2024

The landscape of medical treatments is undergoing a transformative shift. Precision medicine has ushered in revolutionary era healthcare by individualizing diagnostics and according to each patient’s uniquely evolving health status. This groundbreaking method tailoring disease prevention treatment considers individual variations genes, environments, lifestyles. goal precision target the “five rights”: right patient, drug, time, dose, route. In this pursuit, silico techniques have emerged as an anchor, driving forward making realistic promising avenue for personalized therapies. With advancements high-throughput DNA sequencing technologies, genomic data, including genetic variants their interactions with other environment, can be incorporated into clinical decision-making. Pharmacometrics, gathering pharmacokinetic (PK) pharmacodynamic (PD) mathematical models further contribute drug optimization, behavior prediction, drug–drug interaction identification. Digital health, wearables, computational tools offer continuous monitoring real-time data collection, enabling adjustments. Furthermore, incorporation extensive datasets tools, such electronic records (EHRs) omics also another pathway acquire meaningful information field. Although they are fairly new, machine learning (ML) algorithms artificial intelligence (AI) resources researchers use analyze big develop predictive models. review explores interplay these multiple approaches advancing fostering healthcare. Despite intrinsic challenges, ethical considerations, protection, need more comprehensive research, marks new patient-centered Innovative hold potential reshape future generations come.

Язык: Английский

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Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis

Progress in molecular biology and translational science, Год журнала: 2022, Номер unknown, С. 57 - 100

Опубликована: Янв. 1, 2022

Язык: Английский

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