Synthetic X‑ray‑driven tracking and control of miniature medical devices [0.03%]
基于合成X射线的微型医疗设备追踪与控制技术
Chunxiang Wang,Wenbin Kang,Mengmeng Sun et al.
Chunxiang Wang et al.
The clinical translation of miniature medical devices (MMDs) for minimally invasive surgery promises transformative advances in biomedical engineering, offering enhanced precision, reduced patient trauma and faster recovery times. However, ...
Alex Morehead,Nabin Giri,Jian Liu et al.
Alex Morehead et al.
The effects of ligand binding on protein structures and their in vivo functions carry numerous implications for modern biomedical research and biotechnology development efforts such as drug discovery. Although several deep learning (DL) met...
Siyuan Liu,Kim-Han Thung,Liangqiong Qu et al.
Siyuan Liu et al.
Retrospective artefact correction (RAC) improves image quality post acquisition and enhances image usability. Recent machine-learning-driven techniques for RAC are predominantly based on supervised learning, so practical utility can be limi...
Multimodal out-of-distribution individual uncertainty quantification enhances binding affinity prediction for polypharmacology [0.03%]
多模态分布外个体不确定性量化增强polypharmacology的结合亲和力预测能力
Amitesh Badkul,Li Xie,Shuo Zhang et al.
Amitesh Badkul et al.
Polypharmacology, a single drug that targets multiple proteins, holds promise for addressing unmet medical needs. Achieving accurate, reliable and scalable predictions of protein-ligand binding affinity across multiple proteins is crucial t...
A psychometric framework for evaluating and shaping personality traits in large language models [0.03%]
用于评估和塑造大型语言模型人格特征的心理测量框架
Gregory Serapio-García,Mustafa Safdari,Clément Crepy et al.
Gregory Serapio-García et al.
The advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant human-like text. As LLMs increasingly power conversational agents used by the general p...
Actor-critic networks with analogue memristors mimicking reward-based learning [0.03%]
类脑奖励学习的忆阻器 actor-critic 类神经网络
Kevin Portner,Till Zellweger,Flavio Martinelli et al.
Kevin Portner et al.
Advancements in memristive devices have given rise to a new generation of specialized hardware for bio-inspired computing. However, most of these implementations draw only partial inspiration from the architecture and functionalities of the...
Michael Jendrusch,Jan O Korbel
Michael Jendrusch
Proteins play diverse roles in all domains of life and are extensively harnessed as biomolecules in biotechnology, with applications spanning from fundamental research to biomedicine. Therefore, there is considerable interest in computation...
Simon Deltadahl,Julian Gilbey,Christine Van Laer et al.
Simon Deltadahl et al.
Blood cell morphology assessment via light microscopy constitutes a cornerstone of haematological diagnostics, providing crucial insights into diverse pathological conditions. This complex task demands expert interpretation owing to subtle ...
Generating 3D Binding Molecules Using Shape-Conditioned Diffusion Models with Guidance [0.03%]
基于形状的指导扩散模型生成3D结合分子
Ziqi Chen,Bo Peng,Tianhua Zhai et al.
Ziqi Chen et al.
Drug development is a critical but notoriously resource- and time-consuming process. In this manuscript, we develop a novel generative artificial intelligence (genAI) method DiffSMol to facilitate drug development. DiffSMol generates 3D bin...
Johannes Y Lee,Sangjoon Lee,Abhishek Mishra et al.
Johannes Y Lee et al.
Motor brain-computer interfaces (BCIs) decode neural signals to help people with paralysis move and communicate. Even with important advances in the past two decades, BCIs face a key obstacle to clinical viability: BCI performance should st...