Results 291 to 300 of about 6,744,718 (372)

Factors influencing intention to use AI in business decision making among professional employees in Malaysia's financial industry. [PDF]

Front Artif Intell
Naji GMA, Alzoraiki M, Rao NS, Iskandar YHP.   +3 more
europepmc   +1 more source

Beyond Extracellular Vesicle (EV) Hype: Practical Solutions and Remaining Hurdles in EV Research, Manufacturing, and Clinical Translation

Advanced Science, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication with diverse molecular cargoes that reflect their cell of origin. Advances in isolation, detection, and single‐particle analytics have revealed increasing molecular and functional heterogeneity, while exposing limitations in how EV identity and activity are ...
David J. Lundy, Zoe L. Chau, Sheng‐You Chen, Nanami Fujisawa, John J. Hill, Barnett M. Hsu, Joanne K. Liu, Karol W. Mai, James J. Lai   +8 more
wiley   +1 more source

PET rapid image reconstruction challenge (PETRIC). [PDF]

Front Nucl Med
da Costa-Luis C, Ehrhardt MJ, Kolbitsch C, Ovtchinnikov E, Pasca E, Thielemans K, Tsoumpas C.   +6 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Artificial Intelligence and Finance: A bibliometric review on the Trends, Influences, and Research Directions. [PDF]

F1000Res
Roy P, Ghose B, Singh PK, Tyagi PK, Vasudevan A.   +4 more
europepmc   +1 more source

Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China

Advanced Science, EarlyView.
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang, Yadong Yang, Yongsheng Wang, Guirui Yu   +3 more
wiley   +1 more source

Digital assets: risks, regulations, mitigation. [PDF]

Financ Innov
Teng HW, Härdle WK, Osterrieder J, Pele DT, Baals LJ, Papavassiliou V, Bolesta K, Kabašinskas A, Filipovska O, Thomaidis NS, Moukas AI, Goundar S, Nasir JA, Weinberg AI, Arakelian V, Truică CO, Akar M, Kabaklarlı E, Apostol ES, Iannario M, Bȩdowska-Sójka B, Skaftadóttir HK, Yildirim O, Shala A, Pisoni G, Coita IF, Korba S, Hafner CM, Schwendner P, Molnár B, Xhumari E.   +30 more
europepmc   +1 more source

Supplementary Materials for "Who Leads the Trade? Responsibility, Algorithmic Influence, and Regret in Financial Human‑Algorithm Collaboration"

Kovalchuk, Anna
openalex   +1 more source

Time trends and persistence of the return difference between growth and value investment strategies. [PDF]

PLoS One
Monge M, Hurtado R, Infante J.
europepmc   +1 more source

From Algorithmic Management to Data- driven Labour Organising. A trade union approach to workplace datafication

Stig Nyman, Olivia Benfeldt, Maren Gierlich-Joas, Christoffer Bagger, Sine Zambach, Andreas Blicher, Somnath Mazumdar, Jacob Nørbjerg, Boedker, Mads, José Parra-Moyano, Tina Blegind Jensen, Torkil Clemmensen   +11 more
openalex   +1 more source