Results 221 to 230 of about 8,272,458 (291)

Early Detection of Autism Spectrum Disorder Through Automated Machine Learning. [PDF]

Diagnostics (Basel)
Ehsan K, Sultan K, Fatima A, Sheraz M, Chuah TC.   +4 more
europepmc   +1 more source

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source

Read-Across Structural Analysis of PFAS Acute Oral Toxicity in Rats Powered by the Isalos Analytics Platform's Automated Machine Learning. [PDF]

Toxics
Theodori A, Papavasileiou KD, Tsoumanis A, Melagraki G, Afantitis A.   +4 more
europepmc   +1 more source

Electronics‐Free Visual Monitoring of Dry Eye Disease‐Related Tear Biomarkers Using Smart Scleral Lenses

Advanced Science, EarlyView.
An electronics‐free smart scleral lens passively monitors dry eye disease‐related tear biomarkers through colorimetric sensing of chloride, pH, and ocular surface temperature. Smartphone‐assisted image analysis enables quantitative interpretation, providing a simple, non‐invasive strategy for ocular health monitoring without integrated electronics ...
Ziheng Wang, Sang Mok Park, Dawn Meyer, Seul Ah Lee, Yumin Dai, Tianhao Yu, Taewoong Park, Feiyang Li, Jason Gerard Jedlicka, Tristan Michael Long, Oluwabunmi T. Oladele, Gillian C. Shaw, Shin Ae Park, Pete S. Kollbaum, Young L. Kim, Chi Hwan Lee   +15 more
wiley   +1 more source

Utilization of an automated machine learning approach for the detection of granular corneal dystrophy via slit lamp photographs. [PDF]

BMC Ophthalmol
Yavari N, Mohammadi SS, Sokol JT, Feky DE, Rajabi M, Hung JH, Or C, Elaraby O, Anover FA, Saengsirinavin AO, Akhavanrezayat A, Mobasserian A, Than NTT, Guo J, Bai Y, Yasar C, Afshari NA, Lin CC, Nguyen QD.   +18 more
europepmc   +1 more source

Tau Aggregate Imaging and Transcriptomics of Alzheimer's Disease Brain at Different Stages of Disease

Advanced Science, EarlyView.
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English, Dorothea Böken, Matthew W. Cotton, Matthew R. Cheetham, Johanna S. Jackson, Georg Meisl, John S. H. Danial, Paul M. Matthews, Nurun N. Fancy, David Klenerman   +9 more
wiley   +1 more source

Value of an automated machine learning model with post-hoc explanation for predicting healthcare-seeking delays among residents in Tibetan regions. [PDF]

Front Public Health
Xi Z, Meng C, Li Q, Xu Y, Wu P, Zhang Z, Han T, Zhang L, Han X.   +8 more
europepmc   +1 more source

From Automated to On-The-Fly Machine Learning.

, 2019
Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier   +3 more
openaire   +2 more sources

Atomistic Kinetics of Dislocation‐Mediated Grain Growth in Monolayer MoS2

Advanced Science, EarlyView.
Atomic‐resolution in‐situ heating microscopy directly visualizes dislocation‐mediated grain boundary migration and grain growth in monolayer MoS2. Mobile grain boundaries migrate through collective motion of Mo 5|7 dislocations, whereas S 5|7 defects remain largely immobile.
Chang‐Won Choi, Min‐Yeong Choi, Tao Du, Jinho Rhee, Seokho Moon, Yeon‐Seo Nam, Xiaoyan Lu, Jong Kyu Kim, Jungwon Park, Moon‐Ho Jo, Cheol‐Joo Kim, Si‐Young Choi   +11 more
wiley   +1 more source

Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study. [PDF]

JMIR AI
Liu J, Ssewamala F, An R, Ji M.
europepmc   +1 more source