Cytokinetics’ pill for a heart muscle disorder called hypertrophic cardiomyopathy could see its addressable market double after it succeeded in a pivotal trial for another form of the disease. The company said Tuesday that Myqorzo …
UK’s Cytospire draws in $83m for new T-cell engager platform
Cytospire was in the spotlight this morning after announcing an oversubscribed Series A to fund a new form of T-cell engager (TCE) for cancer.
GISEC GLOBAL 2026 – The Middle East & Africa’s Largest Cybersecurity Event
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‘Seismic shift’ as obesity overtakes cancer for R&D returns
For the first time in its 16-year history, Deloitte’s annual report on pharma R&D returns sees obesity replace cancer as the largest driver.
A blueprint for using AI to strengthen democracy
Every few centuries, changes in how information moves reshape how societies govern themselves. The printing press spread vernacular literacy, helping give rise to the Reformation and, eventually, representative government. The telegraph made it possible to administer vast nations like the US, accelerating the growth of the modern bureaucratic state. Broadcast media created shared national audiences, […]
Autoimmune disease biotech Odyssey sets terms for $225m IPO
After abandoning an IPO bid last year, Odyssey is trying again, emboldened by recent big-value listings that suggest 2026 could be a bumper year.
Neurocrine cites work disruption data to make case for timely movement disorder diagnosis
Neurocrine Biosciences has shared survey data showing how tardive dyskinesia affects the ability of patients and caregivers to work, supporting the company’s case for timely treatment of the movement disorder.
Sparse Representation Learning for Vessels
arXiv:2605.01382v1 Announce Type: cross Abstract: Analyzing human vasculature and vessel-like, tubular structures, such as airways, is crucial for disease diagnosis and treatment. Current methods often rely on small sub-regions or simplified tree-like structures, rendering analysis of entire organ-level networks at clinical resolution computationally challenging. To this end, we propose VAEsselSparse, an efficient encoder-decoder model to […]
LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference
arXiv:2605.01058v1 Announce Type: cross Abstract: Layer-aligned distillation and convergence-based early exit represent two predominant computational efficiency paradigms for transformer inference; yet we establish that they exhibit systematic incompatibility under standard deployment conditions for convergence-based early exit. Distillation objectives that align intermediate student layers to teacher representations suppress the representational convergence that early-exit mechanisms exploit, rendering […]
A Target-Free Harmonization Method for MRI
arXiv:2605.01282v1 Announce Type: cross Abstract: In MRI, variations in scan parameters, sequence, or hardware can lead to discrepancies in image appearance, even for the same subject. These inconsistencies, known as domain shifts, can hinder image analysis and degrade the performance of deep learning models trained on data from specific target domains. MRI image harmonization aims […]
The Cost of Consensus: Isolated Self-Correction Prevails Over Unguided Homogeneous Multi-Agent Debate
arXiv:2605.00914v1 Announce Type: cross Abstract: Multi-agent debate, where teams of LLMs iteratively exchange rationales and vote on answers, is widely deployed under the assumption that peer review filters hallucinations. Yet the failure dynamics of homogeneous debate remain poorly understood, therefore we report findings from a controlled empirical study of teams of $N=10$ homogeneous agents (Qwen2.5-7B, […]
Ablation Study of Multimodal Perception, Language Grounding, and Control for Human-Robot Interaction in an Object Detection and Grasping Task
arXiv:2605.00963v1 Announce Type: cross Abstract: This manuscript extends our previous multimodal human-robot interaction system by introducing a controlled ablation study of the three modules that most strongly influence end-to-end performance: the large language model used for action extraction, the perception system used for visual grounding, and the controller used for motion execution. The goal is […]