Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing
Applied SciencesThe semiconductor industry currently lacks a robust, holistic method for detecting parameter drifts in wide-bandgap (WBG) manufacturing, where conventional fault detection and classification (FDC) practices often rely on static thresholds or isolated ...
Chin-Yi Lin +2 more
doaj +1 more source
Driftage: a multi-agent system framework for concept drift detection. [PDF]
Gigascience, 2021 Vieira DM +3 more
europepmc +1 more source
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
FL-MalDrift: a federated learning framework for malware detection under local concept drift
Scientific ReportsAndroid malware evolves continuously, inducing concept drift that erodes the accuracy of learned detectors a challenge intensified in federated learning (FL), where non-IID and asynchronously shifting client data can destabilize aggregation despite ...
Amit Patel +3 more
doaj +1 more source
IEEE AccessAs fraudulent transaction methods evolve rapidly; it becomes progressively more challenging to detect them in payment systems. Static machine learning and rule-based traditional detection methods cannot capture all the dynamic and evolving nature of ...
Hadi M. R. Al Lawati +6 more
doaj +1 more source
An Incremental Clustering Algorithm with Pattern Drift Detection for IoT-Enabled Smart Grid System. [PDF]
Sensors (Basel), 2021 Jiang Z, Lin R, Yang F.
europepmc +1 more source
Reality Drift Visual Index: Drift Types, Optimization Traps, and Synthetic Realness
A visual reference collection examining three related patterns within the Reality Drift project: recurring forms of institutional drift, optimization systems that replace lived outcomes with measurable proxies, and the contrast between direct experience ...
Reality Drift Archive (22445446)
core +1 more source
Epigenetic reprogramming of lineage switching in cancer
FEBS Letters, EarlyView.Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source
Frouros: An open-source Python library for drift detection in machine learning systems
SoftwareXFrouros is an open-source Python library capable of detecting drift in machine learning systems. It provides a combination of classical and more recent algorithms for drift detection, covering both concept and data drift.
Jaime Céspedes Sisniega +1 more
doaj +1 more source