A5036318282- Anomaly Detection Techniques and Applications
- Digital Imaging for Blood Diseases
- Light effects on plants
- Photosynthetic Processes and Mechanisms
- COVID-19 diagnosis using AI
- Algal biology and biofuel production
- Sepsis Diagnosis and Treatment
- RNA modifications and cancer
- RNA Research and Splicing
- Neutropenia and Cancer Infections
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Adversarial Robustness in Machine Learning
- Domain Adaptation and Few-Shot Learning
- RNA and protein synthesis mechanisms
Heinrich Heine University Düsseldorf
2022-2025
We present a Deep Learning approach to predict 3D folding structures of RNAs from their nucleic acid sequence. Our combines an autoregressive Generative Model, Monte Carlo Tree Search, and score model find rank the most likely for given RNA show that de novo structure prediction by deep learning is possible at atom resolution, despite low number experimentally measured can be used training. confirm predictive power our achieving competitive results in retrospective evaluation RNA-Puzzles...
Abstract Circadian clocks regulate biological activities, providing organisms with a fitness advantage under diurnal conditions by enabling anticipation and adaptation to recurring external changes. Three proteins, KaiA, KaiB, KaiC, constitute the circadian clock in cyanobacterial model Synechococcus elongatus PCC 7942. Several techniques established measure output yielded comparably weak signals Synechocystis sp. 6803, strain important for biotechnological applications. We applied an...
Serious clinical complications (SCC; CTCAE grade ≥ 3) occur frequently in patients treated for hematological malignancies. Early diagnosis and treatment of SCC are essential to improve outcomes. Here we report a deep learning model-derived SCC-Score detect predict from time-series data recorded continuously by medical wearable. In this single-arm, single-center, observational cohort study, vital signs physical activity were with wearable 31,234 h 79 (54 Inpatient Cohort (IC)/25 Outpatient...
Abstract Circadian clocks regulate biological activities, providing organisms a fitness advantage under diurnal changing conditions by allowing them to anticipate and adapt recurring external changes. In recent years attention was drawn the entrainment intracellular cycles. Photosynthetic Cyanobacteria coordinate their gene expression, metabolism, other activities in circadian fashion. Solely, three proteins, KaiA, KaiB, KaiC, constitute well-studied clock of cyanobacterial model,...
Abstract Recent progress in computer-aided technologies has had a considerable impact on helping experts with reliable and fast diagnosis of abnormal samples. In particular, self-supervised self-distillation techniques have advanced automated out-of-distribution (OOD) detection the image domain. Further improvements OOD been observed by including negative samples derived from shifting transformations real images. this work, we study different ways creating for medical images how effective...
Recent progress in computer-aided technologies has had a considerable impact on helping experts with reliable and fast diagnosis of abnormal samples. In particular, self-supervised self-distillation techniques have advanced automated out-of-distribution (OOD) detection the image domain. Further improvements OOD been observed by including negative samples derived from shifting transformations natural images. this work, we study different ways creating for medical images how effective they are...