AI x Bio Discovery
@aixbiobot.bsky.social
Automated discovery of AI x Bio papers, blogs, and news.
Fast structural search for classification of gut bacterial mucin O-glycan degrading enzymes [new]
It harmonizes PLM for coarse EC levels with structural methods for fine-grained prediction, reducing false positives.
It harmonizes PLM for coarse EC levels with structural methods for fine-grained prediction, reducing false positives.
February 18, 2026 at 9:00 PM
Fast structural search for classification of gut bacterial mucin O-glycan degrading enzymes [new]
It harmonizes PLM for coarse EC levels with structural methods for fine-grained prediction, reducing false positives.
It harmonizes PLM for coarse EC levels with structural methods for fine-grained prediction, reducing false positives.
Guided tokenization and domain knowledge enhance genomic language models' performance [new]
Prioritizing bio & stat. key subsequences & integrating domain knowledge, leading to improved rep. quality & bio awareness.
Prioritizing bio & stat. key subsequences & integrating domain knowledge, leading to improved rep. quality & bio awareness.
February 18, 2026 at 7:56 PM
Guided tokenization and domain knowledge enhance genomic language models' performance [new]
Prioritizing bio & stat. key subsequences & integrating domain knowledge, leading to improved rep. quality & bio awareness.
Prioritizing bio & stat. key subsequences & integrating domain knowledge, leading to improved rep. quality & bio awareness.
Regulatory network architecture constrains inflammatory responses in tissue-resident alveolar macrophages [new]
via a stabilizing network with PU.1 & CEBP/β, which limits inflammation in tissue-resident versus recruited macrophages.
via a stabilizing network with PU.1 & CEBP/β, which limits inflammation in tissue-resident versus recruited macrophages.
February 18, 2026 at 7:33 PM
Regulatory network architecture constrains inflammatory responses in tissue-resident alveolar macrophages [new]
via a stabilizing network with PU.1 & CEBP/β, which limits inflammation in tissue-resident versus recruited macrophages.
via a stabilizing network with PU.1 & CEBP/β, which limits inflammation in tissue-resident versus recruited macrophages.
Learning Mappings from Cryo-EM Images to Atomic Coordinates via Latent Representations [new]
Predicts 3D atomic coords from 2D cryo-EM by compressing images into latent reps for regression, bypassing pose recovery & 2D projections.
Predicts 3D atomic coords from 2D cryo-EM by compressing images into latent reps for regression, bypassing pose recovery & 2D projections.
February 18, 2026 at 2:56 PM
Learning Mappings from Cryo-EM Images to Atomic Coordinates via Latent Representations [new]
Predicts 3D atomic coords from 2D cryo-EM by compressing images into latent reps for regression, bypassing pose recovery & 2D projections.
Predicts 3D atomic coords from 2D cryo-EM by compressing images into latent reps for regression, bypassing pose recovery & 2D projections.
Accelerating discovery in India through AI-powered science and education [blog]
...through a national initiative scaling AI adoption across its science and education sectors.
...through a national initiative scaling AI adoption across its science and education sectors.
February 18, 2026 at 10:55 AM
Accelerating discovery in India through AI-powered science and education [blog]
...through a national initiative scaling AI adoption across its science and education sectors.
...through a national initiative scaling AI adoption across its science and education sectors.
Systematic Evaluation of Transfer Learning Strategies for Clinical Chemotherapy Response Prediction [new]
Bridging pre-clinical/clinical chemo pred. w/ practical limits found. Fine-tuning & hybrid strategies more reliable for future.
Bridging pre-clinical/clinical chemo pred. w/ practical limits found. Fine-tuning & hybrid strategies more reliable for future.
February 18, 2026 at 8:04 AM
Systematic Evaluation of Transfer Learning Strategies for Clinical Chemotherapy Response Prediction [new]
Bridging pre-clinical/clinical chemo pred. w/ practical limits found. Fine-tuning & hybrid strategies more reliable for future.
Bridging pre-clinical/clinical chemo pred. w/ practical limits found. Fine-tuning & hybrid strategies more reliable for future.
Biological Foundation Models Enable CRISPR Array Detection Without Metagenomic Assembly [new]
directly classifies raw DNA sequences into repeat, spacer, and non-array regions, overcoming short-read and degenerate repeat challenges.
directly classifies raw DNA sequences into repeat, spacer, and non-array regions, overcoming short-read and degenerate repeat challenges.
February 18, 2026 at 3:34 AM
Biological Foundation Models Enable CRISPR Array Detection Without Metagenomic Assembly [new]
directly classifies raw DNA sequences into repeat, spacer, and non-array regions, overcoming short-read and degenerate repeat challenges.
directly classifies raw DNA sequences into repeat, spacer, and non-array regions, overcoming short-read and degenerate repeat challenges.
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics [new]
...are systematically studied, revealing power-law scaling in data-rich single-cell transcriptomics, but negligible scaling when data is limited.
...are systematically studied, revealing power-law scaling in data-rich single-cell transcriptomics, but negligible scaling when data is limited.
February 18, 2026 at 3:12 AM
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics [new]
...are systematically studied, revealing power-law scaling in data-rich single-cell transcriptomics, but negligible scaling when data is limited.
...are systematically studied, revealing power-law scaling in data-rich single-cell transcriptomics, but negligible scaling when data is limited.
Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer [new]
integrates quant. annealing with novel NNs to enhance drug-likeness of generated molecules beyond training data.
integrates quant. annealing with novel NNs to enhance drug-likeness of generated molecules beyond training data.
February 18, 2026 at 3:10 AM
Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer [new]
integrates quant. annealing with novel NNs to enhance drug-likeness of generated molecules beyond training data.
integrates quant. annealing with novel NNs to enhance drug-likeness of generated molecules beyond training data.
CAMEL: An ECG Language Model for Forecasting Cardiac Events [new]
forecasts future cardiac events by enabling long signal inference via a specialized ECG encoder for cross-understanding with text, trained with LLM methods.
forecasts future cardiac events by enabling long signal inference via a specialized ECG encoder for cross-understanding with text, trained with LLM methods.
February 18, 2026 at 3:08 AM
CAMEL: An ECG Language Model for Forecasting Cardiac Events [new]
forecasts future cardiac events by enabling long signal inference via a specialized ECG encoder for cross-understanding with text, trained with LLM methods.
forecasts future cardiac events by enabling long signal inference via a specialized ECG encoder for cross-understanding with text, trained with LLM methods.
MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis [new]
Aligns & combines multimodal feats (via copula trans. & multi-rel. attn.) to overcome fixed graph lims in episodic meta-learning.
Aligns & combines multimodal feats (via copula trans. & multi-rel. attn.) to overcome fixed graph lims in episodic meta-learning.
February 18, 2026 at 3:07 AM
MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis [new]
Aligns & combines multimodal feats (via copula trans. & multi-rel. attn.) to overcome fixed graph lims in episodic meta-learning.
Aligns & combines multimodal feats (via copula trans. & multi-rel. attn.) to overcome fixed graph lims in episodic meta-learning.
MolDeBERTa: Foundational Model for Physicochemical and Structural-Informed Molecular Representation Learning [new]
Robust mol reps from integrating phys-chem&struct biases via novel pretrain objs & byte-BPE tok on large SMILES.
Robust mol reps from integrating phys-chem&struct biases via novel pretrain objs & byte-BPE tok on large SMILES.
February 18, 2026 at 2:02 AM
MolDeBERTa: Foundational Model for Physicochemical and Structural-Informed Molecular Representation Learning [new]
Robust mol reps from integrating phys-chem&struct biases via novel pretrain objs & byte-BPE tok on large SMILES.
Robust mol reps from integrating phys-chem&struct biases via novel pretrain objs & byte-BPE tok on large SMILES.
Towards inferring atomic scale conformation landscape of biomolecules from cryo-electron tomography data [new]
A deep learning framework predicts atom coordinates from cryo-ET subtoms overcoming comp. limits of physics-based fitting.
A deep learning framework predicts atom coordinates from cryo-ET subtoms overcoming comp. limits of physics-based fitting.
February 18, 2026 at 2:00 AM
Towards inferring atomic scale conformation landscape of biomolecules from cryo-electron tomography data [new]
A deep learning framework predicts atom coordinates from cryo-ET subtoms overcoming comp. limits of physics-based fitting.
A deep learning framework predicts atom coordinates from cryo-ET subtoms overcoming comp. limits of physics-based fitting.
QuantCell: machine learning based cell annotation from qualitative and quantitative imaging profiles [new]
...leverages quantitative data for robust annotation in complex tissues, identifying rare cell types via ML and FDR.
...leverages quantitative data for robust annotation in complex tissues, identifying rare cell types via ML and FDR.
February 18, 2026 at 1:59 AM
QuantCell: machine learning based cell annotation from qualitative and quantitative imaging profiles [new]
...leverages quantitative data for robust annotation in complex tissues, identifying rare cell types via ML and FDR.
...leverages quantitative data for robust annotation in complex tissues, identifying rare cell types via ML and FDR.
Diffusion Probabilistic Models for Missing-Wedge Correction in Cryo-Electron Tomography [new]
are adapted to generate missing 2D tilt images, directly addressing distortions in 3D tomogram reconstructions.
are adapted to generate missing 2D tilt images, directly addressing distortions in 3D tomogram reconstructions.
February 18, 2026 at 1:04 AM
Diffusion Probabilistic Models for Missing-Wedge Correction in Cryo-Electron Tomography [new]
are adapted to generate missing 2D tilt images, directly addressing distortions in 3D tomogram reconstructions.
are adapted to generate missing 2D tilt images, directly addressing distortions in 3D tomogram reconstructions.
TITAN-BBB: Predicting BBB Permeability using Multi-Modal Deep-Learning Models [new]
integrates diverse data (tab, img, txt) via attention mech for computational BBB permeability prediction, trained on an extensive aggregated dataset.
integrates diverse data (tab, img, txt) via attention mech for computational BBB permeability prediction, trained on an extensive aggregated dataset.
February 18, 2026 at 12:55 AM
TITAN-BBB: Predicting BBB Permeability using Multi-Modal Deep-Learning Models [new]
integrates diverse data (tab, img, txt) via attention mech for computational BBB permeability prediction, trained on an extensive aggregated dataset.
integrates diverse data (tab, img, txt) via attention mech for computational BBB permeability prediction, trained on an extensive aggregated dataset.
A Discrete Language of Protein Words for Functional Discovery and Design [new]
...derived from discretizing protein space into an evolutionary vocabulary, capturing higher-order signals for bio discovery and programmable engineering.
...derived from discretizing protein space into an evolutionary vocabulary, capturing higher-order signals for bio discovery and programmable engineering.
February 17, 2026 at 10:07 PM
A Discrete Language of Protein Words for Functional Discovery and Design [new]
...derived from discretizing protein space into an evolutionary vocabulary, capturing higher-order signals for bio discovery and programmable engineering.
...derived from discretizing protein space into an evolutionary vocabulary, capturing higher-order signals for bio discovery and programmable engineering.
MicrowellMicrofluidicsMiner (M3): Leverage Large Language Model Agents for Knowledge Mining of Microwell Microfluidics [new]
Auto-extract microwell array design params from literature, build database for accelerated microfluidic dev.
Auto-extract microwell array design params from literature, build database for accelerated microfluidic dev.
February 17, 2026 at 10:05 PM
MicrowellMicrofluidicsMiner (M3): Leverage Large Language Model Agents for Knowledge Mining of Microwell Microfluidics [new]
Auto-extract microwell array design params from literature, build database for accelerated microfluidic dev.
Auto-extract microwell array design params from literature, build database for accelerated microfluidic dev.
Wavelet-Domain Multi-Representation and Ensemble Learning for Automated ECG Analysis [new]
... leverages scalograms & phasograms from CWT with DL & ensemble-fusion for interpretable, generalizable 5-superclass ECG classification.
... leverages scalograms & phasograms from CWT with DL & ensemble-fusion for interpretable, generalizable 5-superclass ECG classification.
February 17, 2026 at 7:58 PM
Wavelet-Domain Multi-Representation and Ensemble Learning for Automated ECG Analysis [new]
... leverages scalograms & phasograms from CWT with DL & ensemble-fusion for interpretable, generalizable 5-superclass ECG classification.
... leverages scalograms & phasograms from CWT with DL & ensemble-fusion for interpretable, generalizable 5-superclass ECG classification.
February 17, 2026 at 7:15 PM
Evaluating Single-Cell Perturbation Response Models Is Far from Straightforward [new]
Flawed metrics misrepresenting model performance, esp. in high-dimensional data, needs robust guidelines for reliable virt-cell model development.
Flawed metrics misrepresenting model performance, esp. in high-dimensional data, needs robust guidelines for reliable virt-cell model development.
February 17, 2026 at 7:14 PM
Evaluating Single-Cell Perturbation Response Models Is Far from Straightforward [new]
Flawed metrics misrepresenting model performance, esp. in high-dimensional data, needs robust guidelines for reliable virt-cell model development.
Flawed metrics misrepresenting model performance, esp. in high-dimensional data, needs robust guidelines for reliable virt-cell model development.
February 17, 2026 at 6:50 PM
RNAiSpline: A Deep learning model for siRNA efficacy prediction [new]
...overcomes data scarcity and generalization challenges with self-supervised pretraining, KAN, CNN, and Transformer Encoder for robust prediction.
...overcomes data scarcity and generalization challenges with self-supervised pretraining, KAN, CNN, and Transformer Encoder for robust prediction.
February 17, 2026 at 6:49 PM
RNAiSpline: A Deep learning model for siRNA efficacy prediction [new]
...overcomes data scarcity and generalization challenges with self-supervised pretraining, KAN, CNN, and Transformer Encoder for robust prediction.
...overcomes data scarcity and generalization challenges with self-supervised pretraining, KAN, CNN, and Transformer Encoder for robust prediction.
Fast-cWDM Brain MRI: Fast Conditional Wavelet Diffusion Model for Synthesis Brain MRI Modality [new]
combines Fast-DDPM w/ wavelets, reducing steps and using wavelet inputs for rapid missing MRI modality synthesis frm existing scans.
combines Fast-DDPM w/ wavelets, reducing steps and using wavelet inputs for rapid missing MRI modality synthesis frm existing scans.
February 17, 2026 at 6:47 PM
Fast-cWDM Brain MRI: Fast Conditional Wavelet Diffusion Model for Synthesis Brain MRI Modality [new]
combines Fast-DDPM w/ wavelets, reducing steps and using wavelet inputs for rapid missing MRI modality synthesis frm existing scans.
combines Fast-DDPM w/ wavelets, reducing steps and using wavelet inputs for rapid missing MRI modality synthesis frm existing scans.
ML-guided robotic microinjection of single neurons in human brain organoids [new]
...systematically targets and injects single neurons in dense organoid tissue, enabling high-throughput manipulation for brain development studies.
...systematically targets and injects single neurons in dense organoid tissue, enabling high-throughput manipulation for brain development studies.
February 17, 2026 at 8:52 AM
ML-guided robotic microinjection of single neurons in human brain organoids [new]
...systematically targets and injects single neurons in dense organoid tissue, enabling high-throughput manipulation for brain development studies.
...systematically targets and injects single neurons in dense organoid tissue, enabling high-throughput manipulation for brain development studies.