Results 241 to 250 of about 634,211 (283)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Advanced AI-Powered System for Comprehensive Thyroid Cancer Detection and Malignancy Risk Assessment. [PDF]

Life (Basel)
Lorenzovici N, Silaghi H, Dulf EH, Braicu C, Silaghi CA.   +4 more
europepmc   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Diagnostic Techniques and Epidemiological Methods for Parasites in Beekeeping: Considerations and Perspectives. [PDF]

Pathogens
Bava R, Castagna F, Ruga S, Bulotta RM, Liguori G, Britti D, Palma E, Musella V.   +7 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Comparative Diagnostic Efficacy of Microscopy, LAMP and PCR for Detection of Bovine Babesiosis in New Valley Governorate, Egypt. [PDF]

Acta Parasitol
Abdelwahab KH, Tolba MEM, Senosy W, Ahmed AM, Khedr AA, Abdelaziz K, Aboelhadid SM, Mahmoud WG.   +7 more
europepmc   +1 more source

Multimodal innovations and clinical applications of Robotic-assisted bronchoscopy in pulmonary nodule diagnosis: a review of recent advances. [PDF]

BMC Pulm Med
Zhang XB, Hogarth DK.
europepmc   +1 more source

Identification of diagnostic and prognostic biomarkers for tuberculosis based on plasma proteomics. [PDF]

PLoS One
Hu Y, Quan C, Zhou Y, Liang S, Wang X, Li J, Liu W, Xu Y, Liu P.   +8 more
europepmc   +1 more source

Diagnostic Biomarkers for Invasive Candidiasis: A Clinician-Oriented Review. [PDF]

J Fungi (Basel)
Smadu SG, Tetradov SC, Ene L, Oprisan C, Lazăr DȘ, Florescu SA.   +5 more
europepmc   +1 more source

Exploring the diagnostic landscape of <i>Mannheimia haemolytica</i>: technologies, applications, and perspectives. [PDF]

Front Microbiol
Wang C, Bai X, Wang J, Ye D, Dou L, Yang Z.   +5 more
europepmc   +1 more source