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Social contexts -- such as families, schools, and neighborhoods -- shape life outcomes. The key question is not simply whether they matter, but rather for whom and under what conditions. Here, we argue that prediction gaps -- differences in…

Social and Information Networks · Computer Science 2025-07-01 Javier Garcia-Bernardo , Eva Jaspers , Weverthon Machado , Samuel Plach , Erik Jan van Leeuwen

Phagocytosis and receptor-mediated endocytosis are vitally important particle uptake mechanisms in many cell types, ranging from single-cell organisms to immune cells. In both processes, engulfment by the cell depends critically on both…

Cell Behavior · Quantitative Biology 2016-06-02 David M. Richards , Robert G. Endres

We explore the role of cellular life cycles for viruses and host cells in an infection process. For this purpose, we derive a generalized version of the basic model of virus dynamics (Nowak, M.A., Bangham, C.R.M., 1996. Population dynamics…

Populations and Evolution · Quantitative Biology 2008-04-28 Daniel Campos , Vicenç Méndez , Sergei Fedotov

Estimating heterogeneous treatment effect (HTE) for survival outcomes has gained increasing attention, as it captures the variation in treatment efficacy across patients or subgroups in delaying disease progression. However, most existing…

Methodology · Statistics 2025-11-27 Na Bo , Ying Ding

Over the past decade, machine learning has revolutionized computers' ability to analyze text through flexible computational models. Due to their structural similarity to written language, transformer-based architectures have also shown…

Hydrophobic patches on protein surfaces play important functional roles in protein-protein and protein-ligand interactions. Large hydrophobic surfaces are also involved in the progression of aggregation diseases. Predicting exposed…

Quantitative Methods · Quantitative Biology 2024-05-28 Dea Gogishvili , Emmanuel Minois-Genin , Jan van Eck , Sanne Abeln

Living organisms survive and multiply even though they have uncertain and incomplete information about their environment and imperfect models to predict the consequences of their actions. Bayesian models have been proposed to face this…

Emerging Technologies · Computer Science 2015-11-13 Jacques Droulez , David Colliaux , Audrey Houillon , Pierre Bessière

Finetuning can significantly modify the behavior of large language models, including introducing harmful or unsafe behaviors. To study these risks, researchers develop model organisms: models finetuned to exhibit specific known behaviors…

Computation and Language · Computer Science 2026-05-05 Mohammed Abu Baker , Luca Baroni , Dan Wilhelm

The relationship between the design and functionality of molecular networks is now a key issue in biology. Comparison of regulatory networks performing similar tasks can give insights into how network architecture is constrained by the…

Molecular Networks · Quantitative Biology 2015-06-26 Ala Trusina , Kim Sneppen , Ian B. Dodd , Keith E. Shearwin , J. Barry Egan

Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their natural interpretation in terms of ageing towards its inevitable absorption. In this paper, we consider an extension to the bivariate…

Methodology · Statistics 2022-10-04 Albrecher Hansjörg , Bladt Martin , Alaric J. A Müller

Accurate identification of haplotypes in sequenced human genomes can provide invaluable information about population demography and fine-scale correlations along the genome, thus empowering both population genomic and medical association…

Genomics · Quantitative Biology 2012-11-12 Fouad Zakharia , Carlos Bustamante

Deep learning models for survival analysis have gained significant attention in the literature, but they suffer from severe performance deficits when the dataset contains many irrelevant features. We give empirical evidence for this problem…

Machine Learning · Computer Science 2019-03-08 Carl Rietschel , Jinsung Yoon , Mihaela van der Schaar

One of the main goals of mathematical modeling in systems medicine related to medical applications is to obtain patient-specific parameterizations and model predictions. In clinical practice, however, the number of available measurements…

Methodology · Statistics 2017-06-22 Ilja Klebanov , Alexander Sikorski , Christof Schütte , Susanna Röblitz

Bacteriophages are promising alternative antimicrobial agents due to their high specificity for host bacteria and minimal immunogenicity in humans. However, their therapeutic application is limited by their nature as biological entities,…

Quantitative Methods · Quantitative Biology 2024-12-30 Hyunjin Shim

A rapid, cost-effective and easy method that allows on-site determination of the concentration of live and dead bacterial cells using a fibre-based spectroscopic device (the optrode system) is proposed and demonstrated. Identification of…

Quantitative Methods · Quantitative Biology 2018-09-12 Fang Ou , Cushla McGoverin , Simon Swift , Frédérique Vanholsbeeck

Single-cell lineage tracking strategies enabled by recent experimental technologies have produced significant insights into cell fate decisions, but lack the quantitative framework necessary for rigorous statistical analysis of mechanistic…

We present a novel learning-based method that achieves state-of-the-art performance on several heart rate estimation benchmarks extracted from photoplethysmography signals (PPG). We consider the evolution of the heart rate in the context of…

Machine Learning · Computer Science 2023-06-16 Valentin Bieri , Paul Streli , Berken Utku Demirel , Christian Holz

Preliminary diagnosis of fungal infections can rely on microscopic examination. However, in many cases, it does not allow unambiguous identification of the species by microbiologist due to their visual similarity. Therefore, it is usually…

Computer Vision and Pattern Recognition · Computer Science 2020-09-09 Bartosz Zieliński , Agnieszka Sroka-Oleksiak , Dawid Rymarczyk , Adam Piekarczyk , Monika Brzychczy-Włoch

The development of molecular diagnostic tools to achieve individualized medicine requires identifying predictive biomarkers associated with subgroups of individuals who might receive beneficial or harmful effects from different available…

Methodology · Statistics 2020-01-20 Shonosuke Sugasawa , Hisashi Noma

Clinical notes contain an extensive record of a patient's health status, such as smoking status or the presence of heart conditions. However, this detail is not replicated within the structured data of electronic health systems.…

Computation and Language · Computer Science 2020-09-18 Andriy Mulyar , Elliot Schumacher , Masoud Rouhizadeh , Mark Dredze