Latest AI and machine learning research in medicare for healthcare professionals.
Understanding the relationship between amino acid sequence and protein function is a long-standing challenge with far-reaching scientific and translational implications. State-of-the-art alignment-based techniques cannot predict function for one-third of microbial protein sequences, hampering our ability to exploit data from diverse organisms. Here, we train deep learning models to accurately pred...
As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and complex path detection ability. Fuzzy testing sample generation is the key step of fuzzy testing, and the quality of sample directly determines the vulnerability mining ability of fuzzy tester. At present, the known sample generation methods focus on code coverage or seed mutation under a critical execu...
The coverage path planning (CPP) algorithms aim to cover the total area of interest with minimum overlapping. The goal of the CPP algorithms is to min...
Fast and accurate assessment of small-molecule dihedral energetics is crucial for molecular design and optimization in medicinal chemistry. Yet, accur...
Meteorological events constantly affect human life, especially the occurrence of excessive precipitation in a short time causes important events such ...
With the technological advancements of the modern era, the easy availability of image editing tools has dramatically minimized the costs, expense, and...
The current approach to using machine learning (ML) algorithms in healthcare is to either require clinician oversight for every use case or use their ...
In the real-world scenario, data often have a long-tailed distribution and training deep neural networks on such an imbalanced dataset has become a gr...
As costs decline and technology inevitably improves, current trends suggest that artificial intelligence (AI) and a variety of "carebots" will increas...
The application of artificial intelligence (AI) technology in the medical field has experienced a long history of development. In turn, some long-stan...
The recent advances in wet-lab automation enable high-throughput experiments to be conducted seamlessly. In particular, the exhaustive enumeration of ...
Phosphoproteomics integrating data-independent acquisition (DIA) enables deep phosphoproteome profiling with improved quantification reproducibility a...
Although numerous road segmentation studies have utilized vision data, obtaining robust classification is still challenging due to vision sensor noise...
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analyzing variants at each run requires considerable ti...
Rapid and accurate extraction of water bodies from high-spatial-resolution remote sensing images is of great value for water resource management, wate...
IMPORTANCE: Detecting cognitive decline earlier among older adults can facilitate enrollment in clinical trials and early interventions. Clinical note...
Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentation of all events of clinical significance, includ...
Force-field development has undergone a revolution in the past decade with the proliferation of quantum chemistry based parametrizations and the intro...
Long-read sequencing enables variant detection in genomic regions that are considered difficult-to-map by short-read sequencing. To fully exploit the ...
Bidirectional Encoder Representations from Transformers (BERT) and BERT-based approaches are the current state-of-the-art in many natural language pro...