Results 201 to 210 of about 35,739 (262)

Aligned or misaligned: Are public funding models for speech-language pathology reflecting recommended evidence? An exploratory survey of Australian speech-language pathologists. [PDF]

Health Policy Open
Nickless T, Davidson B, Finch S, Gold L, Dowell R.   +4 more
europepmc   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Efficacy of the adapted Cycles approach in telepractice speech-language pathology with a parental focus for children with speech sound disorders. [PDF]

Codas
Barbosa DA, Wertzner HF.
europepmc   +1 more source

Test for clinical reasoning evaluation in Speech-Language Pathology: content validity. [PDF]

Codas
Gama ACC, Mourão AM, Medeiros AM, Mancini PC, Machado TH, Santos LG, Gomes NR.   +6 more
europepmc   +1 more source

Speech-Language Pathology. Editorial.

Jornal da Sociedade Brasileira de Fonoaudiologia, 2012
openaire   +1 more source