Interpretable PROTAC Degradation Prediction With Structure‐Informed Deep Ternary Attention Framework
PROTAC‐STAN, a structure‐informed deep learning framework is presented for interpretable PROTAC degradation prediction. By modeling molecular hierarchies and protein structures, and simulating ternary interactions via a novel attention network, PROTAC‐STAN achieves significant performance gains over baselines.
Zhenglu Chen +11 more
wiley +1 more source
Patient Satisfaction in Ophthalmology: The Impact of Remote Scribes. [PDF]
Lee R +5 more
europepmc +1 more source
Effects of patient demands on satisfaction with Japanese hospital care [PDF]
Jin Tokunaga
openalex +1 more source
Multiscale Cell–Cell Interactive Spatial Transcriptomics Analysis
In this study, we present the MultiScale Cell‐Cell Interactive Spatial Transcriptomics Analysis method, which unites the strengths of spatially resolved deep learning techniques with a topological representation of multi‐scale cell‐cell similarity relations.
Sean Cottrell, Guo‐Wei Wei
wiley +1 more source
Factors Influencing Patient Satisfaction with Healthcare Services in Poland. [PDF]
Mularczyk-Tomczewska P +4 more
europepmc +1 more source
Patient satisfaction with out-of-hours services; how do GP co-operatives compare with deputizing and practice-based arrangements? [PDF]
Charles W. Shipman +3 more
openalex +1 more source
Association of Clinician Denial of Patient Requests With Patient Satisfaction
A. Jerant +6 more
semanticscholar +1 more source
The magnetic micromotor‐functionalized DNA‐array hunter (MMDA hunter), integrating autonomous propulsion and precision‐partitioned functionalities, utilizes DNA array programmability and 5'‐3' directional control to achieve spatially partitioned module arrangement.
Qiumei Pu +15 more
wiley +1 more source
Inflammation and patient satisfaction in micropulse versus continuous wave transscleral cyclophotocoagulation. [PDF]
Keidel LF +4 more
europepmc +1 more source
Patient Satisfaction after Total Knee Arthroplasty: Who is Satisfied and Who is Not?
R. Bourne +4 more
semanticscholar +1 more source

