Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Smart Sensors and Smart Data for Precision Agriculture: A Review
Precision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farming practices. The present review synthesizes insights from a multitude of research papers, exploring ...
Efficacy and Safety of Disitamab Vedotin in Patients With Human Epidermal Growth Factor Receptor 2–Positive Locally Advanced or Metastatic Urothelial Carcinoma: A Combined Analysis of Two Phase II Clinical Trials
PURPOSE To evaluate the efficacy and safety of disitamab vedotin (DV, RC48-ADC), a novel humanized anti–human epidermal growth factor receptor 2 (HER2) antibody conjugated with monomethyl auristatin E, in patients with HER2-positive locally advanc...
Boosting Carrier Separation on a BiOBr/Bi4O5Br2 Direct Z-Scheme Heterojunction for Superior Photocatalytic Nitrogen Fixation
Generalized biomolecular modeling and design with RoseTTAFold All-Atom
Deep-learning methods have revolutionized protein structure prediction and design but are presently limited to protein-only systems. We describe RoseTTAFold All-Atom (RFAA), which combines a residue-based representation of amino acids and DNA base...
An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review
Support vector machines (SVMs) are well-known machine learning algorithms for classification and regression applications. In the healthcare domain, they have been used for a variety of tasks including diagnosis, prognosis, and prediction of diseas...
YOLOv8: A Novel Object Detection Algorithm with Enhanced Performance and Robustness
Future of Digital Marketing: Hyper-Personalized Customer Dynamic Experience with AI-Based Predictive Models
Developing trustworthy artificial intelligence: insights from research on interpersonal, human-automation, and human-AI trust
The rapid advancement of artificial intelligence (AI) has impacted society in many aspects. Alongside this progress, concerns such as privacy violation, discriminatory bias, and safety risks have also surfaced, highlighting the need for the develo...
Skin Biopsy Detection of Phosphorylated α-Synuclein in Patients With Synucleinopathies
ImportanceFinding a reliable diagnostic biomarker for the disorders collectively known as synucleinopathies (Parkinson disease [PD], dementia with Lewy bodies [DLB], multiple system atrophy [MSA], and pure autonomic failure [PAF]) is an urgent unm...
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Dinuclear Cu(I) molecular electrocatalyst for CO2-to-C3 product conversion
AbstractMolecular metal complex catalysts are highly tunable in terms of their CO2 reduction performance by means of their flexible molecular design. However, metal complex catalysts have challenges in their structural stability and it has not bee...
Physical insights into non-fullerene organic photovoltaics
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions
Improved charge extraction in inverted perovskite solar cells with dual-site-binding ligands
Inverted (pin) perovskite solar cells (PSCs) afford improved operating stability in comparison to their nip counterparts but have lagged in power conversion efficiency (PCE). The energetic losses responsible for this PCE deficit in pin PSCs occur ...
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
Fuzz4All: Universal Fuzzing with Large Language Models
Using an LLM to Help With Code Understanding
Evaluating Large Language Models in Class-Level Code Generation
Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence
This paper focuses on the use of local Explainable Artificial Intelligence (XAI) methods, particularly the Local Rule-Based Explanations (LORE) technique, within healthcare and medical settings. It emphasizes the critical role of interpretability ...
Multiscale architecture design of 3D printed biodegradable Zn-based porous scaffolds for immunomodulatory osteogenesis
AbstractReconciling the dilemma between rapid degradation and overdose toxicity is challenging in biodegradable materials when shifting from bulk to porous materials. Here, we achieve significant bone ingrowth into Zn-based porous scaffolds with 9...
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