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Earlier sources: Science
Science investigates the natural world through observation, experiments, and mathematical models. Explore papers and developments in biology, medicine, materials, neuroscience, physics, climate, and mathematics; a reported finding is not necessarily established consensus.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗1594 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Epitope Generation Gateway (EGG): A biological context-dependent approach to cancer vaccine development ↗
Abstract Background Personalized neoantigen discovery requires tools that not only identify putative epitopes but also prioritize candidates using biological features relevant to tumor fitness and immune escape. Here, we present Epitope Generation Gateway (EGG), a containerized pipeline that streamlines discovery and prioritization across variant types and human leukocyte antigen (HLA) contexts. EGG coordinates established components, Mutect2 for somatic single nucleotide variations (SNVs) and indels, STAR-Fusion for fusion events, ArcasHLA for HLA typing, and pVACtools for epitope sequence pr…
- OpenAlex · Published · First archived
Prediction of Residue-Level Base Preference for DNA-Binding Proteins Using a Multimodal Learning Framework ↗
Abstract Specific recognition between proteins and DNA governs essential cellular functions, yet the binding specificity of most DNA-binding proteins (DBPs) remains experimentally uncharacterized and high-throughput experimental methods still lag far behind the ever-growing protein data set. Here, we present 3M-BSIP (3-modal base-specific interaction predictor), a multimodal deep learning framework capable of predicting the DNA-binding interface and residue-level base preference for DBPs. 3M-BSIP constructs a holistic protein representation by integrating three distinct modalities: a protein l…
- OpenAlex · Published · First archived
Human Protein Biomarkers Outperform Bacterial Proteins in Colorectal Cancer Detection ↗
Colorectal cancer (CRC) generally develops from precancerous adenomatous lesions, including advanced adenomas (AA), through a sequence of carcinogenic molecular alterations. The composition of the gut microbiota and the fecal proteome is known to differ between individuals with AA and CRC compared to controls, providing opportunities for biomarker discovery. This study aims to assess the potential of bacterial proteins as non-invasive biomarkers alone or in combination with human proteins. Therefore, two fecal sample sets from a colonoscopy-controlled population were analyzed: sample set 1 (CR…
- OpenAlex · Published · First archived
A Comprehensive Review of the Underlying Mechanisms of Resistance and Therapeutic Options for DTR-PA in Bloodstream Infection and Pneumonia: A Clinical Vignette-Based Approach ↗
Pseudomonas aeruginosa is a ubiquitous opportunistic pathogen and a leading cause of severe healthcare-associated infections, particularly ventilator-associated pneumonia (VAP) and bloodstream infections (BSIs) in critically ill patients. Its remarkable capacity for both intrinsic and acquired resistance leads to complex phenotypic profiles, culminating in difficult-to-treat resistant P. aeruginosa (DTR-PA). Managing DTR-PA presents a daunting clinical challenge characterised by a narrow therapeutic armamentarium, treatment delays, and high attributable mortality. To bridge the gap between com…
- OpenAlex · Published · First archived
Retrospective Application of Genome-Based Newborn Screening Platforms Identifies Diagnoses in Critically Ill Children ↗
Purpose To evaluate the proportion of children in intensive care units (ICU) that were diagnosed with genetic diseases that could have been identified by population newborn screening by genome sequencing (gNBS) at birth. Methods A multi-site retrospective observational cohort study of patients admitted to the neonatal, pediatric, or cardiac ICU at two tertiary children's hospitals between July 2017 and March 2025 and received rapid diagnostic genomic sequencing (RDGS) during ICU admission. RDGS results were translated to gNBS results for 778 genes included in three gNBS research platforms. Res…
- OpenAlex · Published · First archived
Antiferroelectric phase-field simulations via scale-invariant physics-informed neural operators ↗
Abstract Optimizing antiferroelectric (AFE) energy-storage microstructures via phase-field modeling is computationally prohibitive due to immense spatial and temporal constraints. First, accurately capturing the highly frustrated commensurate and incommensurate AFE phases requires exceptionally fine spatial resolutions to resolve sharp, high-frequency antiparallel dipole gradients. Second, simulating path-dependent double hysteresis loops requires quasi-static loading, where time-dependent evolution equations must be rigorously integrated at every electric-field increment until the macroscopic…
- OpenAlex · Published · First archived
G-quadruplex-binding ligand RHPS4 reduces Plasmodium falciparum mitochondrial DNA level providing a novel antimalarial strategy ↗
ABSTRACT Malaria caused by Plasmodium falciparum remains a major health threat, killing over 600,000 people annually. The spread of resistance to all major antimalarials, including artemisinins, highlights the urgent need for new drugs with distinct mechanisms of action. Here, we show that the G-quadruplex ligand RHPS4, an acridine derivative, displays strong antiplasmodial activity against both drug-sensitive and drug-resistant P. falciparum strains and clinical isolates. RHPS4 primarily targets the trophozoite stage and induces major mitochondrial alterations, including reduction of mitochon…
- OpenAlex · Published · First archived
Physics-prior-guided compensation for spatially varying degradation in confocal endoscopy ↗
Field-dependent blur and frequency-response loss limit miniature confocal endoscopic imaging. We introduce a physics-prior-guided dual-branch residual network that combines the degraded image with normalized field coordinates and calibration-derived MTF, PSF, SNR, and intensity-response maps. For the representative peripheral resolution-target region, the peak-to-valley difference increased from 0.23 to 0.36, and image-derived MTF50 increased from 16.7 to 40.4 lp/mm. Across 196 patches extracted from the four displayed source images, the proposed method achieved an NRMSE of 0.1394 and an SSIM…
- OpenAlex · Published · First archived
Precision Oncology at Speed: Workflow Design Determines Clinical Utility in Rapid Molecular Testing for Lung Cancer ↗
Abstract Purpose Matching patients with effective targeted therapies requires timely molecular results, however the challenge today how to embed it into routine clinical workflows in ways that meaningfully affect patient-level treatment decisions. Methods Building on prior work, the authors systematically reviewed laboratory operations, interdepartmental coordination, and administrative processes from two distinct healthcare settings: a United States based academic tertiary care center and a Canadian community hospital. We identified shared themes, context-specific challenges, and operational…
- OpenAlex · Published · First archived
Physics-informed large models for wind and solar forecasting: A carbon-aware framework for decarbonized power systems ↗
The large-scale integration of wind and solar power is essential for power-sector decarbonization, but their variability creates persistent challenges for forecasting, reserve allocation, storage scheduling, curtailment, and emission-aware operation. This review synthesizes recent advances in statistical, deep-learning, transformer, foundation-model, probabilistic, and physics-informed renewable forecasting, with emphasis on physical consistency, uncertainty, computational requirements, real-time applicability, and system-level operational value. We propose the Physics-Informed Large Model Car…
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Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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