Biotech & Medtech
Biotech & Medtech news — Wednesday 30 September 2026
40 stories from 4 sources, every one in English. Each links to its publisher.
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Trump’s watered-down Medicare drug pricing rule saves 96% less than initial proposal
WASHINGTON — The Trump administration published a final rule aimed at lowering Medicare prices for drugs administered in doctor offices. It applies to only four companies. The Global Benchmark for Efficient Drug Pricing , or GLOBE, is one…
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STAT+: UnitedHealth investor lawsuit moves forward on allegations it ‘manufactured earnings’ to hide declining profits
An investor lawsuit against UnitedHealth Group will move forward after a federal judge on Wednesday declined the company’s motion to dismiss allegations that it juiced its earnings to the tune of $3.3 billion in 2024 to conceal weakness in…
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FDA Looks to Bring New Scientific, Consumer Voices to Advisory Committees
The FDA is recruiting to fill vacancies on its advisory committees, informally known as adcomms. While these committees have met less frequently during the Trump administration, more meetings have been scheduled since former Commissioner…
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MedCity FemFwd: Opportunities in the Fertility Market
In this episode, we’re joined by Claire Love, deals strategy principal at PwC. We discuss PwC’s recent report showing the opportunities in the fertility and reproductive health market. The post MedCity FemFwd: Opportunities in the…
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4 Notable Health Tech Funding Announcements in September
Health tech companies made several major funding announcements in September. Here is a list of some of the biggest funding rounds. The post 4 Notable Health Tech Funding Announcements in September appeared first on MedCity News .
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AI’s Healthcare ‘Doomsday’? It May Be Less About Autonomy Than Trust
For one ICU physician and startup CMO, the more immediate danger isn’t an autonomous system taking over medicine and leaving human decision-making behind. It’s healthcare organizations harnessing AI primarily to increase efficiency while…
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STAT+: HHS announces new efforts to speed up, expand clinical trials with AI
WASHINGTON — The Department of Health and Human Services announced a set of new initiatives aimed at speeding up clinical trials by incorporating more artificial intelligence and computational models and moving away from sharply delineated…
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Bristol Myers trial revisions shake confidence in new class of fibrosis drugs
A spokesperson confirmed that a “limited number” of liver-related safety events, including a patient death, were observed in testing of Bristol Myers’ admilparant — though it’s unclear whether the drug was to blame.
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FDA starts review of Roche’s multiple sclerosis pill
The FDA previously hadn’t ever accepted an application of a drug like fenebrutinib in two major forms of MS. But safety questions still hang over Roche’s program.
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U.S. poised to boot legal immigrants from Medicaid, including refugees and sex-trafficking victims
Hundreds of thousands of immigrants with legal status are at risk of losing government health coverage starting Oct. 1, state data shows, signaling that the impact of Medicaid changes in President Donald Trump’s signature legislation from…
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STAT+: What health tech leaders are talking about in Washington policy circles
This is the web edition of STAT’s AI Prognosis newsletter, our guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday. It never crossed my mind that there would be a Cookie…
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PhRMA names next CEO; Pierre Fabre takes third swing at Ebvallo approval
A former congressman will take over for prominent lobbyist Steve Ubl. Elsewhere, recent buyout deals paid dividends for Mirum and AbbVie.
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STAT+: Eli Lilly’s Zepbound combined with amylin drug led to significant weight loss in mid-stage trial
An investigational combination therapy from Eli Lilly led to significant weight loss in a mid-stage study, but high rates of people stopping the treatment may raise questions about its tolerability. Lilly, which is racing to bring…
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Rural MAHA followers say Trump hasn’t improved health of their communities, poll finds
WASHINGTON — About half of rural voters identify with Make America Healthy Again , a sprawling political movement championed by the Trump administration, but most said President Donald Trump’s health care policies have not benefited their…
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STAT+: Three biotech updates, including accusations of theft and and a new lobbying leader
Good morning. I have a gallon of apple cider I don’t know what to do with. Please send any good recipes you have! The need-to-know this morning Moderna appointed Juan Andres as its new chief operating officer, a new executive role for the…
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AI Won’t Fix Social Care, But Could It Help Us Finally Make It Work?
AI could play a meaningful role in advancing social care. Not by replacing people, but by helping them and organizations doing this work move faster, see patterns earlier, and coordinate more effectively. The post AI Won’t Fix Social Care…
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STAT+: Pharmalittle: We’re reading about Beam suing over IP theft, a Trump rule on importing meds, and more
Top of the morning to you, and a fine one it is. Clear blue skies are hovering over the Pharmalot campus, where a cool breeze is wafting by and the official mascots are bounding about the grounds in search of critters. As for us, we are…
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CDC measles death count still lags Pennsylvania’s
Get your daily dose of health and medicine every weekday with STAT’s free newsletter Morning Rounds. Sign up here . Good morning. In Monday’s newsletter, Amanda wrote about a study on rising mortality rates for treatable surgical…
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Opinion: America’s biotech race with China must be won at home
Last week, President Trump welcomed Chinese President Xi Jinping to Washington for the first time in a decade. Tariffs, Iran, and rare earth minerals were among the issues that dominated their summit. But another arena of competition…
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Opinion: STAT+: What to think about those mice with half-human brains
What would happen if you generated a new type of lab mouse whose brain was substantially human? Would they be really smart or somehow have a different consciousness? Until now, such trains of thought mostly were chugging through fictional…
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Kratom and 7-OH should be regulated, experts agree. They’re split on how
Kratom leaf products, often used to ease chronic pain, anxiety, or withdrawal from opioids, have been sold in the U.S. for decades, largely skirting any regulatory restrictions despite a known risk for physical dependence. But…
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Exponential Convergence of Deep Operator Networks for Elliptic Partial Differential Equations
arXiv:2112.08125v3 Announce Type: replace-cross Abstract: We construct and analyze approximation rates of deep operator networks (ONets) between infinite-dimensional spaces that emulate with an exponential rate of convergence the…
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Evolving Towards Better Codes: LLM-Guided Search for High-Distance Binary Linear Codes
arXiv:2609.37056v1 Announce Type: cross Abstract: Evolutionary program search driven by large language models (LLMs) has produced record-breaking constructions for open problems in combinatorics and beyond. We apply this approach to the…
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A neural network that maintains and retrieves memories based on context
arXiv:2609.37791v1 Announce Type: cross Abstract: Every day, people continuously infer situational context and adjust the way they understand and remember the world. Context, signaled by the prefrontal cortex, is known to modulate working…
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HeurEvo: Agentic Evolution of Hybrid Solver-Augmented Heuristics for Time-Critical Mathematical Optimization
arXiv:2609.36303v1 Announce Type: cross Abstract: Recent advances in agentic heuristic design use AI agents and execution feedback to automate algorithm discovery for challenging optimization problems. In many practical settings…
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Massively Parallel Reinforcement Learning with a Chaotic Reconfigurable Clockless Chip
arXiv:2609.36347v1 Announce Type: new Abstract: Hardware accelerators based on physical dynamical systems offer an attractive route toward energy-efficient reinforcement learning applications. However, their scalability is challenging…
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Dynamical Diversity for Reservoir Computing in Reconfigurable Nanomechanics
arXiv:2609.29532v3 Announce Type: replace-cross Abstract: Physical reservoir computing uses nonlinear dynamics and a trained linear readout to process information. Nanoelectromechanical (NEMS) resonators combine geometric Duffing…
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A Spiking Neural Network Model of Elementary Self-Consciousness via Endogenous Default Mode Network Dynamics
arXiv:2609.29984v2 Announce Type: replace-cross Abstract: Understanding the neurobiological mechanisms underlying self-referential cognition and baseline self-consciousness remains a fundamental challenge in computational neuroscience. In…
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Boosting Adversarial Robustness and Generalization with Dictionary Structure
arXiv:2502.00834v2 Announce Type: replace-cross Abstract: This work investigates a novel approach to boost adversarial robustness and generalization by incorporating structural prior into the design of deep learning models. Specifically…
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Homo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction
arXiv:2608.25466v2 Announce Type: replace Abstract: The functional annotation of genes in non-model organisms remains a significant challenge in computational biology, with 20-70% of sequenced genes lacking characterized functions…
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Where Does Randomness Matter in Neural Cellular Automata?
arXiv:2609.36797v1 Announce Type: cross Abstract: Stochastic cell updates are often used throughout the life of a neural cellular automaton (NCA), from backpropagation through time to final rollout. This leaves two questions entangled…
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Causal pieces: analysing and improving spiking neural networks piece by piece
arXiv:2504.14015v2 Announce Type: replace Abstract: We introduce "causal pieces", a novel concept for analysing spiking neural networks (SNNs), inspired by "linear pieces" used to study expressivity and trainability in artificial neural…
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Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-Policy
arXiv:2609.38016v1 Announce Type: cross Abstract: Constrained Reinforcement Learning has recently gained increasing attention in the field of Safe Autonomous Driving, where the general mechanism is to maximize the expected reward while…
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Hybrid Joint-Selective Optimization: Reduced-Space Levenberg-Marquardt Refinement of Low-Dimensional Parameters of Interest
arXiv:2609.37308v1 Announce Type: cross Abstract: This paper introduces a hybrid joint-selective optimization (HJSO) framework for large-scale numerical problems in which a small subset of trainable quantities is of primary interest. We…
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Kolmogorov-Arnold Classifier Systems as Universal Approximators
arXiv:2609.37958v1 Announce Type: cross Abstract: As the input dimension $n$ grows, rule-based machine learning, such as Learning Classifier Systems (LCSs), faces a fundamental scalability bottleneck for function approximation: both rule…
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NeuroDyn-EEG: An Interpretable Pre-trained Model for EEG Based on Neural Dynamics
arXiv:2609.36773v1 Announce Type: new Abstract: Clinical scalp electroencephalography (EEG) offers a noninvasive window into neural dynamics of neuropsychiatric disorders. However, discriminative deep models often lack anatomically indexed…
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Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos
arXiv:2605.21648v3 Announce Type: replace-cross Abstract: We ask whether the standard treatment of dropout as a static hyperparameter is optimal, or whether its utility can be improved by letting it vary over depth. We answer this by…
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Graph neural networks for sampling-invariant embeddings of organized signal sets
arXiv:2609.35934v1 Announce Type: cross Abstract: Sensor networks and radars can deliver signals as organized sets, e.g. ordered signals, signals describing range cells within a grid or signals perceived as graph nodes. Within such sets…
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Adaptive Rotation for iSOMA: Geometry, Benchmarking, and Noise Robustness in Variational Quantum Objectives
arXiv:2609.37193v1 Announce Type: new Abstract: We study whether the coordinate dependence of the improved Self-Organizing Migrating Algorithm (iSOMA) can be reduced while retaining its inexpensive leader-directed migration mechanism. We…
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Multi-Depth Temporal Fusion for Feedforward, Locally Trained Spiking Neural Networks
arXiv:2609.37047v1 Announce Type: new Abstract: We propose a new spiking neural network (SNN) design to process static images and event streams using time-to-first-spike (TTFS) latencies. Our key research question is which architectural…