Zobrazeno 1 - 10
of 15 428
pro vyhledávání: '"Falck A"'
Identifying patient subgroups with different treatment responses is an important task to inform medical recommendations, guidelines, and the design of future clinical trials. Existing approaches for subgroup analysis primarily rely on Randomised Cont
Externí odkaz:
http://arxiv.org/abs/2408.03463
Numerous benchmarks aim to evaluate the capabilities of Large Language Models (LLMs) for causal inference and reasoning. However, many of them can likely be solved through the retrieval of domain knowledge, questioning whether they achieve their purp
Externí odkaz:
http://arxiv.org/abs/2407.08029
Autor:
Bannur, Shruthi, Bouzid, Kenza, Castro, Daniel C., Schwaighofer, Anton, Thieme, Anja, Bond-Taylor, Sam, Ilse, Maximilian, Pérez-García, Fernando, Salvatelli, Valentina, Sharma, Harshita, Meissen, Felix, Ranjit, Mercy, Srivastav, Shaury, Gong, Julia, Codella, Noel C. F., Falck, Fabian, Oktay, Ozan, Lungren, Matthew P., Wetscherek, Maria Teodora, Alvarez-Valle, Javier, Hyland, Stephanie L.
Radiology reporting is a complex task requiring detailed medical image understanding and precise language generation, for which generative multimodal models offer a promising solution. However, to impact clinical practice, models must achieve a high
Externí odkaz:
http://arxiv.org/abs/2406.04449
In-context learning (ICL) has emerged as a particularly remarkable characteristic of Large Language Models (LLM): given a pretrained LLM and an observed dataset, LLMs can make predictions for new data points from the same distribution without fine-tu
Externí odkaz:
http://arxiv.org/abs/2406.00793
Likelihood-based deep generative models such as score-based diffusion models and variational autoencoders are state-of-the-art machine learning models approximating high-dimensional distributions of data such as images, text, or audio. One of many do
Externí odkaz:
http://arxiv.org/abs/2403.01485
Autor:
Chen, Hongxiang, Wang, Jie, Mao, Tianxiang, Ma, Juntao, Meng, Yuxi, Li, Baojiu, Cai, Yan-Chuan, Neyrinck, Mark, Falck, Bridget, Szalay, Alexander S.
We present a scheme based on artificial neural networks (ANN) to estimate the line-of-sight velocities of individual galaxies from an observed redshift-space galaxy distribution. We find an estimate of the peculiar velocity at a galaxy based on galax
Externí odkaz:
http://arxiv.org/abs/2312.03469
Autor:
Williams, Christopher, Falck, Fabian, Deligiannidis, George, Holmes, Chris, Doucet, Arnaud, Syed, Saifuddin
U-Nets are a go-to, state-of-the-art neural architecture across numerous tasks for continuous signals on a square such as images and Partial Differential Equations (PDE), however their design and architecture is understudied. In this paper, we provid
Externí odkaz:
http://arxiv.org/abs/2305.19638
Publikováno v:
eJHaem, Vol 5, Iss 4, Pp 669-676 (2024)
Abstract Novel treatments in multiple myeloma (MM) could influence the incidence of skeletal‐related events (SREs). We aimed to examine the incidence of SRE and the preventive use of osteoclast inhibitors (OIs) in a cohort of MM patients in the era
Externí odkaz:
https://doaj.org/article/48e1d7a9cd82446eb0adca2c26e4c96f
Publikováno v:
Ocean Science, Vol 20, Pp 981-1001 (2024)
The Barents Sea, an important component of the Arctic Ocean, is experiencing changes in its ocean currents, stratification, sea ice variability, and marine ecosystems. Inflowing Atlantic Water (AW) is a key driver of these changes. As AW predominantl
Externí odkaz:
https://doaj.org/article/34aa547552ce489bb4921418f0281d13
Autor:
Steven W. de Taeye, Angela I. Schriek, Jeffrey C. Umotoy, Marloes Grobben, Judith A. Burger, Rogier W. Sanders, Gestur Vidarsson, Manfred Wuhrer, David Falck, Neeltje A. Kootstra, Marit J. van Gils
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Broadly neutralizing antibodies (bNAbs) targeting the HIV-1 envelope glycoprotein (Env) have the capacity to delay viral rebound when administered to people with HIV-1 (PWH) during anti-retroviral therapy (ART) interruption. To further enhan
Externí odkaz:
https://doaj.org/article/bd55cd58e2634a59b51fc88dc6c76b5f