Biophysics & Systems Biology · Life Sciences
Quantitative Methods
The newest papers in Quantitative Methods that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
140 papers, from 4 September 2026 to 5 November 2026: 140 arXiv preprints.
Get the few papers worth your time in Quantitative Methods every morning.
Follow Quantitative Methods and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 7
Bracketing Uncertainty in Clustering Under the Manifold Hypothesis
The manifold hypothesis suggests a natural criterion for clustering: partition data according to the manifold component from which each point is drawn.BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific Reasoning in Physics-Grounded Biological Research
Language models face unique challenges in analyzing interdisciplinary scientific research literature.Knowledge-Enriched Structured EHR Features for 30-Day Hospital Readmission Prediction on MIMIC-IV
Recent approaches to 30-day hospital readmission prediction rely on pre-trained language models applied to discharge summaries.Optical microelectrode arrays for differential readout of electrical and mechanical signals in cardiac cells
Simultaneous assessment of electrical excitation and mechanical contraction is essential for understanding cardiac cell function, yet these two processes are commonly measured with separate…An immune world model for multiscale forecasting and therapeutic hypothesis generation
Immune therapies act across cell-intrinsic programs, tissue ecosystems, and patient-specific immune states, yet most predictors address these scales separately.Same Encoder, Different Winner: A Paired-View Framework for Cell Painting Encoder Evaluation
Vision encoders for Cell Painting are typically ranked by a single evaluation, commonly replicate mean average precision (mAP).Biology-in-the-loop: Amortized Adaptive Hit Discovery in CRISPR Screens
Many biological discovery problems require experiments to be selected sequentially under constrained budgets.HypoKG: Evidence-Disciplined Biomedical Hypothesis Generation Beyond Endpoint Knowledge
Large language models (LLMs) can generate biomedical hypotheses, but it remains unclear whether they truly reason from scientific evidence or simply produce convincing-sounding ideas.ProMeta: Few-shot PROTAC-targeted degradation prediction across E3 ligases
Proteolysis-targeting chimeras (PROTACs) have emerged as a transformative therapeutic strategy that selectively degrades historically ''undruggable'' targets via the ubiquitin-proteasome system.scDEFT: A deep learning framework for drug-effect prediction and counterfactual reasoning
Longitudinal single cell atlases now capture matched pre treatment and post treatment states from responders and non responders, presenting an opportunity to mechanistically explain why two patients…Seamless Whole Slide Label-Free Virtual Staining
Label-free virtual staining offers a compelling, non-destructive alternative to standard histopathology; however, its clinical adoption is hindered by the computational bottlenecks inherent to…Fixed-Dimensional Latent Flow for Generating Variable-Size 3D Molecules
In molecular discovery, molecule size is coupled to composition, structure, and other target properties.CHIMERA Challenge Task 2 and 3: Response Subtypes Classification and Progression Survival Prediction in Bladder Cancer Patients using Multimodal Datasets
High-risk non-muscle-invasive bladder cancer (HR-NMIBC) carries substantial risks of recurrence and progression, while current clinical risk stratification remains limited.Unlabeled Echoes: Pseudo-Labels and Genus-Aware Smoothing for Bat Call Recognition
Passive acoustic monitoring produces far more bat recordings than experts can label.Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers
Normative age models are trained to predict chronological age in a nominally healthy cohort.The Accuracy Paradox: Empirical Diagnostic of Default Decision Thresholds in Multi-Label Enzyme Commission Prediction [With Code]
Automated prediction of Enzyme Commission (EC) numbers plays a central role in functional annotation and computational drug discovery.MI-PEFT: Mixture-of-Experts Integrated Parameter-Efficient Fine-Tuning Protein Language Models Improves Acidophilic Proteins Classification
Acidophilic proteins that remain stable and functional under highly acidic conditions, are important for industrial biocatalysis, acid-related bioprocessing, and the discovery of acid-stable enzymes.MedGSSR: Generalizable Medical Image Super-Resolution 3D Reconstruction via Hierarchical Feed-forward Gaussian Splatting
High-resolution volumetric medical imaging is critical for clinical diagnosis, yet acquisition is often limited by scanner hardware, scan time, and for CT, radiation dose.Agentic BAIM-LLM Evaluation (ABLE): Benchmarking LLM Use of Protein Design Tools
We introduce ABLE, a benchmark for evaluating LLM agents' ability to use biological AI models (BAIMs), such as ProteinMPNN and AlphaFold3, in dual-use protein design workflows.A Generalizable Feature Extractor for Alzheimer's-Related Brain MRI Tasks
When there is not enough labeled data to properly train deep learning models, transfer learning can help.