Engineering materials, Journal Year: 2024, Volume and Issue: unknown, P. 307 - 325
Published: Jan. 1, 2024
Language: Английский
Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107392 - 107392
Published: Feb. 9, 2024
Language: Английский
Citations
31
Water, Journal Year: 2025, Volume and Issue: 17(2), P. 170 - 170
Published: Jan. 10, 2025
Artificial intelligence (AI) uses highly powerful computers to mimic human intelligent behavior; it is a major research hotspot in science and technology, with an increasing number of applications wider range fields, including complex process supervision control. Wastewater treatment example involving many uncertainties external factors achieve final product specific requisites (effluents prescribed quality). Reducing energy consumption, greenhouse gas emissions, resources recovery are additional requirements these facilities’ operation. AI could extend the purpose expected results previously adopted tools present operational approaches by leveraging superior simulation, prediction, control, adaptation capabilities. This paper reviews current wastewater field discusses achievements potentials. So far, almost all sector involve predictive studies, often at small scale or limited data use. Frontline aimed creation AI-supported digital twins real systems being conducted, few encouraging but still applications. aims identifying discussing key barriers adoption field, which include laborious instrumentation maintenance, lack expertise design software, instability control loops, insufficient incentives for resource efficiency achievement.
Language: Английский
Citations
2
Heliyon, Journal Year: 2024, Volume and Issue: 10(18), P. e37964 - e37964
Published: Sept. 1, 2024
Language: Английский
Citations
13
Cancers, Journal Year: 2024, Volume and Issue: 16(5), P. 862 - 862
Published: Feb. 21, 2024
The concept and policies of multicancer early detection (MCED) have gained significant attention from governments worldwide in recent years. In the era burgeoning artificial intelligence (AI) technology, integration MCED with AI has become a prevailing trend, giving rise to plethora products. However, due heterogeneity both targets technologies, overall diversity products remains considerable. types encompass protein biomarkers, cell-free DNA, or combinations these biomarkers. development models, different model training approaches are employed, including datasets case-control studies real-world cancer screening datasets. Various validation techniques, such as cross-validation, location-wise validation, time-wise used. All factors show impacts on predictive efficacy AIs. After completion development, deploying AIs clinical practice presents numerous challenges, presenting reports, identifying potential locations tumors, addressing cancer-related information, follow-up treatment. This study reviews several mature currently available market, detecting their composing serum biomarker detection, training/validation, application. review illuminates challenges encountered by existing across stages, offering insights into continued obstacles within field AI.
Language: Английский
Citations
11
Molecules, Journal Year: 2024, Volume and Issue: 29(13), P. 3156 - 3156
Published: July 2, 2024
Electrochemical biosensors have emerged as powerful tools for the ultrasensitive detection of lung cancer biomarkers like carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), and alpha fetoprotein (AFP). This review comprehensively discusses progress potential nanocomposite-based electrochemical early diagnosis prognosis. By integrating nanomaterials graphene, metal nanoparticles, conducting polymers, these sensors achieved clinically relevant limits in fg/mL to pg/mL range. We highlight key role nanomaterial functionalization enhancing sensitivity, specificity, antifouling properties. also examines challenges related reproducibility clinical translation, emphasizing need standardization fabrication protocols robust validation studies. With rapid growth understanding innovations sensor design, nanocomposite hold immense point-of-care screening personalized therapy guidance. Realizing this goal will require strategic collaboration among material scientists, engineers, clinicians address technical practical hurdles. Overall, work provides valuable insight developing next-generation smart diagnostic devices combat high mortality cancer.
Language: Английский
Citations
6
Published: Jan. 3, 2024
The concept and policies of multiple early cancer detection (MCED) have gained significant attention from governments worldwide in recent years. In the era burgeoning artificial intelligence (AI) technology, integration MCED with AI has become a prevailing trend, giving rise to plethora products. However, due heterogeneity both targets technologies, overall diversity products remains considerable. types encompass protein biomarkers, cell-free DNA, or combinations these biomarkers. development models, different model training approaches are employed, including datasets case-control researches real-world screening datasets. Various validation techniques, such as cross-validation, location-wise validation, time-wise used. All factors show impacts on predictive efficacy AIs. After completion development, deploying AIs clinical practice presents numerous challenges, presenting reports, identifying potential locations tumor, addressing cancer-related information follow-up treatment. This study reviews several mature currently available market, detecting their composing serum biomarkers detection, training/validation, application. review illuminates challenges encountered by existing across stages, offering insights into continued obstacles within field AI.
Language: Английский
Citations
4
Next Nanotechnology, Journal Year: 2025, Volume and Issue: 7, P. 100128 - 100128
Published: Jan. 1, 2025
Language: Английский
Citations
0
Talanta, Journal Year: 2025, Volume and Issue: 288, P. 127728 - 127728
Published: Feb. 12, 2025
Language: Английский
Citations
0
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 23 - 39
Published: Jan. 1, 2025
Citations
0
Engineering materials, Journal Year: 2024, Volume and Issue: unknown, P. 307 - 325
Published: Jan. 1, 2024
Language: Английский
Citations
0