This systematic review compiles the current approaches for the development of versatile delivery systems for small drug molecules. In addition, the review identifies the key challenges that need to be addressed along the translational pathway from fundamental and applied research to clinical application. Simplifying the design of multifunctional systems to facilitate their manufacturing, integrating machine learning algorithms to predict their properties and optimize system composition, and developing standardized protocols for preclinical evaluation using animal models represent key promising directions for future development in this area. The knowledge covered in this review may be useful for researchers in planning future studies and selecting appropriate methods and approaches for the development and characterization of polymer-based delivery systems.

Venture capitalist Balaji Srinivasan announced a signed memorandum of understanding with Kazakhstan in July 2026 to relocate his Network School, a "frontier community for techno-optimists" incubator established in 2024, from Forest City, Malaysia to Astana. The move followed disputes with Malaysian authorities regarding allegations of housing Israeli passport holders and licensing breaches at the hotel-based operation. While investigations did not confirm passport violations, minor technicalities prompted the school's closure. Srinivasan responded by pivoting to Kazakhstan, characterizing it as an undervalued nation offering Singapore and Dubai-level competency with affordable land and energy resources. A photograph documented Srinivasan meeting with Zhaslan Madiyev, Kazakhstan's Minister of Artificial Intelligence and Digital Development, as the school's signage was reinstalled with state sponsorship. The development reflects Srinivasan's evolution from his roles as general partner at Andreessen Horowitz and CTO of Coinbase to his current position as a global angel investor with expanding international projects, positioning him as an influential figure promoting techno-optimist entrepreneurial ventures across geopolitical boundaries.

This study examines how coordinated deployment of public data openness and supercomputing infrastructure strengthens agricultural supply chain resilience in China. Using provincial panel data from 31 Chinese provinces spanning 2011–2024, researchers exploited the staggered rollout of public data platforms and supercomputing centers as quasi-natural experiments. They constructed a synergistic difference-in-differences model, validated through event-study parallel trend tests, placebo simulations, propensity score matching, and double/debiased machine learning. Results demonstrate that policy coordination substantially enhances agricultural supply chain resilience through two primary mechanisms: industrial structure rationalization and agricultural electrification enhancement. The synergistic approach reduces informational barriers between agricultural and related industries, optimizes factor reallocation, and accelerates adoption of precision agriculture technologies. Heterogeneity analysis reveals policy effects are substantially stronger in central and western regions, suggesting digital infrastructure offsets traditional regional disparities. This research is significant as it clarifies how coordinated digital transformation policies enhance food security and agricultural development resilience amid escalating external shocks including climate extremes, market volatility, and geopolitical uncertainties.

Anthropic's Threat Intelligence team has released a comprehensive report documenting the detection and disruption of malicious Claude AI usage between December 2025 and August 2026. The report reveals that threat actors—including state-sponsored groups, financially motivated criminals, commercial spyware vendors, and politically motivated individuals—attempted to exploit Claude's Haiku, Sonnet, and Opus models across seven harm categories: cyber operations, influence operations, surveillance, scams and fraud, biological misuse, conventional weapons development, and distillation. Notable cases included fake dating app networks designed for fraud and surveillance systems targeting dissidents. No misuse involved the Fable or Mythos-class models, except for one distillation case. Each incident was disrupted, and learnings were incorporated into strengthened safeguards while intelligence was shared with authorities and industry partners. Anthropic emphasizes that as AI capabilities advance, proactive disclosure and cross-industry coordination become essential for identifying threat patterns, informing policy responses, and collectively strengthening defenses against emerging malicious applications.

A 20-second voice recording can already reveal something about your risk of type 2 diabetes. London startup Thymia trained a model using speech from more than 21,000 people, validated it on another 7,319, and then compared its predictions with HbA1c blood tests in 801 participants. In that blood-tested group, the model gave a person with diabetes a higher risk score than someone without it about 75% of the time, and at one screening threshold it flagged 82% of diabetes cases. It is still a preprint and nowhere near replacing a blood test, but the remarkable part is that a metabolic disease leaves enough information inside 20 seconds of ordinary speech for an AI model to pick it up.

Data monetization is a CFO priority, because it can diversify revenue streams, expand margins and multiples—and change your capital allocation priorities. Yet, for both analysis and execution, it often needs a new toolkit. Compared to other products, data usually has higher upfront fixed costs, fewer variable costs, and longer-lived revenue streams. It can also pose new regulatory, reputational, and governance risks that CFOs have to manage.

The U.S. Department of Energy is partnering with nuclear power plants to produce clean hydrogen at scale, addressing a critical gap in American energy production. Currently, approximately 95% of U.S. hydrogen comes from natural gas through steam-methane reforming, a carbon-intensive process. The DOE is investing billions to leverage existing nuclear assets for clean hydrogen generation through electrolysis, which splits water into pure hydrogen and oxygen using heat and electricity. High-temperature electrolyzers prove particularly efficient for this application. A single 1,000-megawatt nuclear plant could produce up to 150,000 tons of hydrogen annually, enabling new markets in fertilizer production, oil refining, steel manufacturing, and fuel cell vehicles. The DOE's Office of Critical Minerals and Energy Innovation and Office of Nuclear Energy have initiated three demonstration projects. Notably, Constellation constructed a low-temperature electrolysis system at Nine Mile Point nuclear plant, marking America's first nuclear-powered clean hydrogen production facility. The project began generating hydrogen in February 2023 and will supply additional grid power by 2025. This initiative represents a strategic approach to decarbonizing multiple industrial sectors while revitalizing nuclear facilities' economic viability.

Inhaled therapeutics are emerging as a promising strategy to combat antimicrobial resistance by delivering medicines directly to the lungs, potentially improving treatment efficacy for respiratory infections while minimizing systemic exposure. According to a 2024 Lancet analysis, bacterial antimicrobial resistance caused an estimated 4.71 million deaths globally in 2021, with 1.14 million directly attributable to AMR, highlighting the urgency of addressing this public health crisis. While developing new antibiotics remains essential, researchers are increasingly investigating whether optimizing delivery methods for existing therapies could enhance effectiveness. Pulmonary drug delivery advances in antibiotics, vaccines, and biologics are being driven by innovations in particle engineering, aerosol science, and inhaler technologies. Unlike traditional oral or intravenous administration, which distributes medicine systemically before reaching infected lung tissue, targeted inhaled delivery places therapeutic agents precisely where needed. This approach requires specialized expertise in formulation design, aerosol characterization, device selection, and manufacturing to ensure optimal lung deposition. By refocusing on delivery optimization alongside antibiotic discovery, the global health community can better utilize existing treatment arsenals while combating the growing threat of antimicrobial resistance.

Researchers have developed a sophisticated approach to engineering hydroxyapatite nanomaterials through crystal-chemical design to create advanced bone implant coatings with stimuli-responsive capabilities. This comprehensive review, published in Future Journal of Pharmaceutical Sciences in September 2026, explores lattice engineering techniques that enable controlled drug delivery from these biocompatible materials. Hydroxyapatite, a calcium phosphate compound chemically similar to natural bone mineral, serves as an ideal scaffold for bone regeneration applications. By manipulating the crystal structure at the lattice level, scientists can introduce responsive mechanisms that trigger drug release in response to specific stimuli such as pH changes, temperature fluctuations, or enzymatic activity. This innovation addresses critical challenges in orthopedic medicine by combining structural biocompatibility with controlled therapeutic delivery, potentially improving healing outcomes and reducing systemic side effects. The ability to fine-tune release kinetics through crystal-chemical design represents a significant advancement in personalized implant technology, with applications extending beyond bone repair to broader pharmaceutical delivery systems requiring spatial and temporal precision.

A growing "adversarial fashion" movement is challenging widespread AI surveillance by using specially designed clothing patterns to confuse facial recognition and license plate readers. A cybersecurity expert has created colorful geometric patterns that successfully defeat multiple AI detection systems, with these designs being shared publicly for broader adoption. This movement reflects deepening public frustration over pervasive surveillance cameras that capture personal data without consent, combined with widespread uncertainty about data storage and usage practices. As AI-powered cameras increasingly monitor streets worldwide, capable of identifying faces and vehicle license plates, privacy concerns have intensified regarding unauthorized data collection, inadequate storage safeguards, and potential misuse. The adversarial fashion response represents a tangible form of resistance against surveillance proliferation, empowering individuals to protect their privacy and identity from algorithmic identification systems.

Cette opération intervient à quelques jours de la Journée mondiale de la santé mentale, organisée chaque année le 10 octobre. Entre la disparition soudaine du sourire de la mascotte, son air abattu et le mystérieux « We need to talk », difficile de ne pas imaginer que La Vache qui rit pourrait profiter de cette campagne pour ouvrir la conversation autour de la santé mentale.

A British company has demonstrated the key fuel compression principle underpinning FLARE, its proprietary approach to inertial fusion. First Light Fusion showcased this approach in a series of experiments on M3, the company’s in-house pulsed power facility. FLARE separates the two main steps needed for fusion: first compressing the fuel, then rapidly igniting it. Much like an engine compresses fuel before ignition, FLARE first assembles the fuel to high density before delivering a separate, rapid burst of energy to trigger fusion. The M3 experiments validate the first of these stages: compressing fuel to high density using a simple, lower power driver.

Modern computer chips hold tens of billions of transistors on a piece of silicon a few centimeters across. Making chips faster and more efficient means fitting more transistors onto the same area, shrinking them toward the scale of individual atoms. The problem is that silicon starts to misbehave as it gets thinner. Current leaks through transistors that should be switched off, and electrons move more sluggishly through channels only a few atoms thick.

Researchers have discovered novel antimicrobial peptides derived from Brevibacillus laterosporus DSM 25 that demonstrate significant potential against antibiotic-resistant pathogens. These peptides function by targeting MurT ligase, a bacterial enzyme critical for cell wall synthesis. The study reveals that these antimicrobial peptides exhibit broad-spectrum activity against multiple drug-resistant microorganisms, addressing a growing clinical challenge in treating infections resistant to conventional antibiotics. This finding is particularly important given the rising prevalence of multidrug-resistant bacteria worldwide, which threatens treatment efficacy and patient outcomes. By targeting a specific enzymatic mechanism essential for bacterial survival, these peptides offer a novel therapeutic approach that could potentially circumvent existing resistance mechanisms. The development of antimicrobial peptides from natural bacterial sources represents a promising strategy for discovering new antimicrobial agents. This research contributes to the expanding arsenal of alternative treatments needed to combat the global antimicrobial resistance crisis and may facilitate development of next-generation therapeutics.

Shape memory polymers enable 4D printing—additive manufacturing where time serves as the fourth dimension, allowing printed parts to change shape on demand. Unlike traditional 3D printing, 4D-printed components are produced in their permanent designed state, then deformed and held in temporary configurations until reactivated. The polymer chains lock into place while cooled and return to their original geometry when triggered. Activation mechanisms vary by chemistry and application, including heat, moisture, light, or magnetic fields, with different printing techniques—fused deposition modeling, stereolithography, and selective laser sintering—accommodating diverse polymer formulations. This programmable shape-shifting capability enables transformative applications across multiple industries. One prominent example involves vascular stents designed with negative Poisson's ratio structures optimized through genetic algorithms. These stents compress for delivery through narrow blood vessels, then expand upon reaching body temperature to restore proper blood flow. The ability to customize both material properties and activation triggers during design makes 4D printing valuable for aerospace, medical devices, soft robotics, and deployable structures where space constraints or functionality demands require shape transformation after initial placement.

Chronic wounds and pathological scarring present significant regenerative medicine challenges due to dysregulated tissue repair processes. A comprehensive review by researchers at Zhejiang University proposes an innovative phase-oriented framework for developing bio-inks specifically designed for skin regeneration through 3D bioprinting technology. The study establishes critical connections between bio-ink properties and the dynamic biological requirements of distinct wound-healing stages, integrating material engineering with regenerative mechanisms. A major finding identifies a substantial gap: current phase-specific bio-ink design remains underdeveloped and largely implicit in existing healing phase analyses. The research highlights emerging 4D bioprinting strategies and advocates for adaptive bio-inks guided by multi-omics datasets to create stage-responsive systems capable of modulating therapeutic delivery according to evolving wound repair requirements. These advancements could substantially improve chronic wound treatment outcomes and minimize pathological scarring, offering considerable potential for advancing regenerative medicine applications and restoring functional tissue architecture.

Soft robots represent a transformative advancement in robotics, offering superior compliance, safety, and environmental adaptability compared to conventional rigid systems. These robots, inspired by biological structures like elephant trunks and octopus tentacles, excel in healthcare, intelligent manufacturing, and human-machine interaction applications. This comprehensive review examines the critical technologies enabling soft robot functionality: actuation strategies that determine motion generation and response capability, and flexible sensing technologies that enable perception and feedback control. The review emphasizes the integration of actuation and sensing systems, discussing proprioception, exteroception, and multimodal information fusion approaches essential for precise control and intelligent environmental interaction. By synthesizing recent advances in these coupled systems, the review addresses current technical challenges while outlining future perspectives for next-generation intelligent soft robotics. With artificial intelligence and advanced sensing technologies advancing rapidly, embodied intelligence has emerged as a promising paradigm enabling robots to perceive, adapt, and interact effectively with complex, unstructured environments. These developments expand soft robotics' applications and establish them as increasingly important in future intelligent societies.

A comprehensive empirical study examining 86 countries—40 developed and 46 developing—from 2010 to 2024 reveals critical insights into how green finance and technological innovation drive sustainable growth. Using advanced econometric techniques including pooled ordinary least squares regression, fixed effects models, random effects models, and generalized method of moments estimation to account for endogeneity, researchers found that technological innovation consistently contributes positively to sustainable growth, particularly in developing nations. However, green finance demonstrates counterintuitive short-term negative effects on sustainable growth, suggesting implementation challenges during transition periods. Institutional quality emerges as a crucial moderating factor that significantly enhances the effectiveness of both green finance and technological innovation. These findings underscore that countries must prioritize strengthening institutional frameworks and improving resource allocation efficiency alongside supporting technological advancement to fully realize green finance benefits during the transition toward sustainable economic growth.

Nanomedicine has emerged as a transformative approach to cancer diagnosis and therapy by leveraging nanotechnology to overcome limitations of conventional treatments. Researchers from Assam University present a comprehensive review examining how tuning nanoparticle properties—including size, morphology, and surface charge—enables controlled targeted drug delivery, improved cellular uptake, and therapeutic release. The review systematically discusses advances across polymeric, lipid-based, inorganic, biological, and hybrid nanocarriers, emphasizing surface engineering, ligand-mediated targeting, and multifunctional delivery systems. These platforms address critical challenges including poor aqueous solubility, unfavorable pharmacokinetics, systemic toxicity, and drug resistance associated with traditional therapies. However, significant hurdles persist regarding tumor-specific accumulation, intratumoral heterogeneity, and long-term outcomes. The authors address major translational obstacles including large-scale fabrication, reproducibility, safety concerns, and regulatory barriers. Emerging strategies highlighted include personalized nanomedicine, combination therapies, and artificial intelligence-assisted nanoparticle design, positioning next-generation nanomedicine as essential to advancing safer, more effective, and patient-centered cancer treatment approaches.

Four-dimensional printing represents an evolution of traditional 3D printing where the "fourth dimension" refers to time-dependent shape transformation. Unlike conventional 3D printing, which produces static objects through layer-by-layer material deposition, 4D printing creates structures capable of changing shape, function, or properties over time when exposed to specific environmental stimuli such as heat, moisture, or light. This capability is enabled by smart materials, shape-memory polymers, and programmable structures that have advanced significantly in recent years. A 4D-printed object might transform from a flat strip into a ring when exposed to hot water, for instance, either permanently or reversibly depending on material properties. While 4D printing has been under research for years, recent breakthroughs in smart materials engineering have elevated it into a serious industrial field. The technology holds potential implications for consumer applications and home use, though practical adoption for desktop 3D printers remains in development stages as researchers refine materials and printing techniques to make the technology more accessible and functional for widespread implementation.