-
Mashup Score: 3SIC50: Determining drug inhibitory concentrations using a vision transformer and an optimized Sobel operator - 1 year(s) ago
The cost of developing cancer therapeutics has been increasing in the past decades. To tackle this challenge, we developed a more affordable method for the evaluation of drug potency employing deep learning and validated the method using 4 different drugs. We anticipate that this method will empower the high-throughput screening of chemical libraries that affect cell density and morphologies.
Source: PatternsCategories: General Medicine News, Latest HeadlinesTweet
-
Mashup Score: 0Doing it right: Caring for and protecting patient information for US organ donors and transplant recipients - 1 year(s) ago
In the current US organ transplantation system, there are no regulations defining how organ procurement organizations must manage personal data and protect the privacy of donors and recipients. In response to the recent announcement of a major overhaul of the US transplantation system, we describe a practical approach to improving transplant data quality and protecting the autonomy of patients…
Source: PatternsCategories: General Medicine News, Latest HeadlinesTweet-
"Doing it right: Caring for and protecting patient information for US organ donors and transplant recipients." @DCRINews Eric D. Perakslis Read more from this @Patterns_CP Opinion here:: https://t.co/CS84BBAM2H
-
-
Mashup Score: 2
Fabricating research within the scientific community has consequences for one’s credibility and undermines honest authors. We demonstrate the feasibility of fabricating research using an AI-based language model chatbot. Human detection versus AI detection will be compared to determine accuracy in identifying fabricated works. The risks of utilizing AI-generated research works will be underscored…
Source: PatternsCategories: General Medicine News, Latest HeadlinesTweet-
Opinion: "AI-Generated Research Paper Fabrication and Plagiarism in the Scientific Community" @sunydownstate Faisal Elali & Leena Rachid Read this Opinion in @Patterns_CP https://t.co/TNrhZcxRvb
-
-
Mashup Score: 6
Fabricating research within the scientific community has consequences for one’s credibility and undermines honest authors. We demonstrate the feasibility of fabricating research using an AI-based language model chatbot. Human detection versus AI detection will be compared to determine accuracy in identifying fabricated works. The risks of utilizing AI-generated research works will be underscored…
Source: PatternsCategories: General Medicine News, Latest HeadlinesTweet-
Opinion: "AI-Generated Research Paper Fabrication and Plagiarism in the Scientific Community" @sunydownstate Faisal Elali & Leena Rachid Read this Opinion in @Patterns_CP https://t.co/TNrhZcxRvb
-
-
Mashup Score: 0Massive Monte Carlo simulations-guided interpretable learning of two-dimensional Curie temperature - 1 year(s) ago
Magnetism in two-dimensional materials is an emerging field of science that may revolutionize modern information technology. The magnetic ordering in these materials fluctuates with temperature, which can be estimated by computationally intensive Monte Carlo simulations. Here we develop physically interpretable data-driven models to replace such time-consuming computations while preserving the…
Source: PatternsCategories: General Medicine News, Latest HeadlinesTweet-
Massive Monte Carlo simulations-guided interpretable learning of two-dimensional Curie temperature - read the full article by @Santanu80999226 & colleagues in @Patterns_CP #apsmarch https://t.co/4IHHMXlc0w
-
-
Mashup Score: 0Strain data augmentation enables machine learning of inorganic crystal geometry optimization - 1 year(s) ago
Predicting novel materials with machine learning (ML) requires accurate structural information. For novel materials, equilibrium structures are not known and must be obtained with computationally expensive ab initio methods. A computationally inexpensive optimizer, such as an ML-based one, would be ideal. We demonstrate a model trained on both ground-state and systematically strained structures….
Source: PatternsCategories: General Medicine News, Latest HeadlinesTweet-
Out now in @Patterns_CP "Strain data augmentation enables machine learning of inorganic crystal geometry optimization" @CleanUoft @UofT & others #apsmarch https://t.co/mBeg50KAsg
-
-
Mashup Score: 0Staying the course - 1 year(s) ago
As our faithful readers will have already read in our January editorial, I have recently joined Cell Press and taken on the editor-in-chief role for Patterns. I look forward to building on the solid foundation laid by Sarah Callaghan, the journal’s founding editor-in-chief, and all of the other editors, authors, and reviewers who have contributed so much to growing and developing this new and…
Source: PatternsCategories: General Medicine News, Latest HeadlinesTweet-
Meet Andrew L. Hufton, the new editor-in-chief of @Patterns_CP and read his editorial, “Staying the course”. https://t.co/3f2IZnp1Sk https://t.co/VQ9f3fKrNx
-
-
Mashup Score: 2Staying the course - 1 year(s) ago
As our faithful readers will have already read in our January editorial, I have recently joined Cell Press and taken on the editor-in-chief role for Patterns. I look forward to building on the solid foundation laid by Sarah Callaghan, the journal’s founding editor-in-chief, and all of the other editors, authors, and reviewers who have contributed so much to growing and developing this new and…
Source: PatternsCategories: General Medicine News, Latest HeadlinesTweet-
Meet Andrew L. Hufton, the new editor-in-chief of @Patterns_CP and read his editorial, “Staying the course”. https://t.co/2W3cp6IJrj https://t.co/eATJxIko0D
-
-
Mashup Score: 0Predictive coding is a consequence of energy efficiency in recurrent neural networks - 1 year(s) ago
Connecting the computational principles of brain function to the physical constraints of the brain is important for understanding neural information processing. This is demonstrated by showing that the hallmarks of the predictive coding framework can emerge in a recurrent neural network model that is constrained in its energy usage.
Source: PatternsCategories: General Medicine News, Latest HeadlinesTweet-
Read @Patterns_CP paper, “Predictive coding is a consequence of energy efficiency in recurrent neural networks” and hear what author Abdullahi Ali (@hellothere_ali) had to say about their work #openaccess @TimKietzmann @nasiryahm @marcelge https://t.co/kqK0hBB3kd https://t.co/3ZLDsgUckC
-
-
Mashup Score: 2
Preeclampsia is one of the main complications of pregnancy, posing risk both to the mother and the baby. We developed machine-learning models for early prediction of preeclampsia (first 16 weeks of pregnancy) and over gestation by analyzing six omics datasets from a longitudinal cohort of pregnant women. If further validated, our findings could lead to a simple prediction test for use in both…
Source: PatternsCategories: Cardiologists, Latest HeadlinesTweet-
Early prediction and longitudinal modeling of preeclampsia from multiomics https://t.co/gKzuvx6Q3I @Patterns_CP https://t.co/CbEJtXRqtP
-
SIC50: Determining drug inhibitory concentrations using a vision transformer and an optimized Sobel operator - read the full article by Kit Lam @UCDChem & colleagues in @patterns_cp #AACR23 https://t.co/6O8RhaNLz1