113.116 hasil untuk machine learning
Menampilkan 101–120 · 1,34 detik · RSS
-
Artikel Jurnal Teks lengkap
Machine learning and protein allostery
The fundamental biological importance and complexity of allosterically regulated proteins stem from their central role in signal transduction and cellular processes. Recently, machine learning approaches have been developed and actively deployed to facilitate theoretical and experimental studies of…
-
Artikel Jurnal Teks lengkap
Synergic quantum generative machine learning
We introduce a new approach towards generative quantum machine learning significantly reducing the number of hyperparameters and report on a proof-of-principle experiment demonstrating our approach. Our proposal depends on collaboration between the generators and discriminator, thus, we call it…
-
Artikel Jurnal Teks lengkap
Machine learning enhanced cell tracking
…and assemble these into meaningful trajectories. In this aspect, machine learning (ML) is having a transformational effect on bioimage analysis, now enabling robust cell detection in multidimensional image data. However, the task of cell tracking, or constructing accurate multi-generational…
-
Artikel Jurnal Teks lengkap
Machine learning and 3D bioprinting
…constructs. To make bioprinting and bioprinted constructs more powerful, machine learning (ML) is introduced to optimize the relevant processes, applied materials, and mechanical/biological performances. The objectives of this work were to collate, analyze, categorize, and summarize published…
-
Artikel Jurnal Teks lengkap
Machine Learning for Protein Engineering
…traditional directed evolution with computation through the training of machine learning models on protein sequence fitness data. This chapter highlights successful applications of machine learning to protein engineering and directed evolution, organized by the improvements that have been made with…
-
Artikel Jurnal Teks lengkap
Machine learning in shoulder arthroplasty
AIMS: Machine learning (ML) holds significant promise in optimizing various aspects of total shoulder arthroplasty (TSA), potentially improving patient outcomes and enhancing surgical decision-making. The aim of this systematic review was to identify ML algorithms and evaluate their effectiveness…
-
Artikel Jurnal Teks lengkap
Machine Learning in Polymer Research
Machine learning is increasingly being applied in polymer chemistry to link chemical structures to macroscopic properties of polymers and to identify chemical patterns in the polymer structures that help improve specific properties. To facilitate this, a chemical dataset needs to be translated into…
-
Artikel Jurnal Teks lengkap
Machine Learning in Pain Neuromodulation
This chapter highlights the intersection of pain neuromodulation and machine learning (ML), exploring current limitations in pain management and how ML techniques can address these challenges. Neuromodulation technologies, such as spinal cord stimulation (SCS), have emerged as promising…
-
Artikel Jurnal Teks lengkap
Diffusion MRI with machine learning
…can be highly complex. Recent years have witnessed increasing use of machine learning methods for dMRI analysis. This manuscript aims to assess these efforts, with a focus on methods that have addressed data preprocessing and harmonization, microstructure mapping, tractography, and white matter…
-
Artikel Jurnal Teks lengkap
Radiometer calibration using machine learning
…reference source to mitigate errors by comparison. Recent advances in Machine Learning (ML) offer promising alternatives. Neural networks, which are trained using known signal sources, provide a powerful means to model and calibrate complex systems where traditional analytical approaches struggle…
-
Artikel Jurnal Teks lengkap
Comparing non-machine learning vs. machine learning methods for Ki67 scoring in gastrointestinal neuroendocrine tumors
…comparisons exist between different tools. We compared a non-machine learning (non-ML) tool (ImageScope, Leica Biosystems) with a machine learning (ML) tool (Aiforia Create, Aiforia Technologies) on Ki67-stained slides from 10 low proliferative neuroendocrine tumor cases (Ki67 score
-
Artikel Jurnal Teks lengkap
Ingredients for Responsible Machine Learning: A Commented Review of The Hitchhiker’s Guide to Responsible Machine Learning
In The hitchhiker’s guide to responsible machine learning, Biecek, Kozak, and Zawada (here BKZ) provide an illustrated and engaging step-by-step guide on how to perform a machine learning (ML) analysis such that the algorithms, the software, and the entire process is interpretable and transparent…
-
Artikel Jurnal Teks lengkap
Can Machine Learning Provide Understanding? How Cosmologists Use Machine Learning to Understand Observations of the Universe
…these observations has become impractical. Simulators have thus turned to machine learning (ML) algorithms instead. Though ML decreases computational expense, one might be worried about the use of ML for scientific investigations: How can algorithms that have repeatedly been described as…
-
Artikel Jurnal Teks lengkap
Machine learning on normalized protein sequences
BACKGROUND: Machine learning techniques have been widely applied to biological sequences, e.g. to predict drug resistance in HIV-1 from sequences of drug target proteins and protein functional classes. As deletions and insertions are frequent in biological sequences, a major limitation of current…
-
Artikel Jurnal Teks lengkap
Machine learning and complex biological data
Machine learning has demonstrated potential in analyzing large, complex biological data. In practice, however, biological information is required in addition to machine learning for successful application.
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.