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arXiv:2610.30119v1 Announce Type: cross Abstract: We prove a self-normalized Bernstein inequality for bounded functions of a regenerative process with independent, identically distributed marked cycles of finite mean length. The bound uses observed cycle lengths and retains explicit terms for truncation and the cycle ending after the observation horizon. Selecting a tuning parameter from a finite deterministic collection gives a version of Bernstein inequality where all terms are empirical but one, related to the tails of the regeneration times. We then study this term in many regimes: it turns out that it is of second-order in many cases of interest. This is important for applications in machine learning: we prove generalization error bounds for classification with non-i.i.d., regenerative data. These bounds can be used to define learning objectives: by minimizing the first-order term only in the bound, we define agnostic classifiers that still satisfy oracle inequalities. We also

arXiv:2610.30119v1 Announce Type: cross Abstract: We prove a self-normalized Bernstein inequality for bounded functions of a regenerative process with independent, identically distributed marked cycles of finite mean length. The bound uses observed cycle lengths and retains explicit terms for truncation and the cycle ending after the observation horizon. Selecting a tuning parameter from a finite deterministic collection gives a version of Bernstein inequality where all terms are empirical but one, related to the tails of the regeneration times. We then study this term in many regimes: it turns out that it is of second-order in many cases of interest. This is important for applications in machine learning: we prove generalization error bounds for classification with non-i.i.d., regenerative data. These bounds can be used to define learning objectives: by minimizing the first-order term only in the bound, we define agnostic classifiers that still satisfy oracle inequalities. We also

arXiv:2610.30119v1 Announce Type: new Abstract: We prove a self-normalized Bernstein inequality for bounded functions of a regenerative process with independent, identically distributed marked cycles of finite mean length. The bound uses observed cycle lengths and retains explicit terms for truncation and the cycle ending after the observation horizon. Selecting a tuning parameter from a finite deterministic collection gives a version of Bernstein inequality where all terms are empirical but one, related to the tails of the regeneration times. We then study this term in many regimes: it turns out that it is of second-order in many cases of interest. This is important for applications in machine learning: we prove generalization error bounds for classification with non-i.i.d., regenerative data. These bounds can be used to define learning objectives: by minimizing the first-order term only in the bound, we define agnostic classifiers that still satisfy oracle inequalities. We also show

arXiv:2610.29351v1 Announce Type: new Abstract: Zero-shot cross-lingual voice cloning often carries the reference speaker's accent into the target language. We propose closed-loop dual-reference guidance, which pairs the original reference with a reusable native anchor constructed by voice conversion (VC). The references initialize separate language-model (LM) states that guide a shared acoustic trajectory; each completed patch then updates both states, keeping their generated histories aligned with the emitted speech. Anchor construction runs once per speaker, and online synthesis uses a frozen TTS model without per-utterance VC. On 20 held-out French speakers, the fixed setting $\lambda^{\!*}=0.33$ reduces residual French LID mass by 73\% versus direct cloning, at an ECAPA similarity cost of only $0.042$; relative to anchor-only cloning, it recovers $0.155$. The method achieves the lowest mean WER ($0.009$) and highest mean GOP ($4.750$) among the held-out test arms. In blinded

arXiv:2610.29013v1 Announce Type: new Abstract: Speculative decoding accelerates large language models by verifying drafted tokens in parallel. New draft-training objectives are usually credited with the acceptance they add over cross-entropy on externally written responses, yet many pipelines let the target rewrite them. We ask how much of that gain survives. With a vision-language target and a block drafter, we train three objectives on four versions of one corpus: cross-entropy on corpus tokens, token-level distillation from the target, and distillation gated to positions that would survive verification. Distillation and the gate add large gains on external responses, but after greedy regeneration, distillation adds a smaller gain and the gate little or none. The shrinkage persists across data orders, position weights, verifiers, decoding temperatures and, for distillation, initializations and learning rates. Most of it remains at matched supervised length and at each objective's

A historical account traces how a five-surgeon collaboration in 1985 developed into a registry containing more than 200,000 liver transplants from 174 centres across 32 European countries.

An offline EEG study of 97 healthy adults linked motor imagery to brief limb execution and used a dual-branch neural network to improve movement-intention decoding.

China has taken a major step in spearheading the standardisation of brain-computer interface (BCI) technologies, as it now chairs the secretariat of a subcommittee jointly overseen by two key international organisations and lists the technology applications as a national development priority. The China-led subcommittee, known as ISO/IEC JTC 1/SC 43, was set to formulate global standards regarding the communication and interaction between brains and computers that are applicable across...

A cross-sectional survey of 249 medical students at one Turkish university found near-universal AI use but no stable overall link between use frequency and psychological distress.

Current Good Manufacturing Practice (GMP) standards for cell therapies assess identity, viability, sterility, and genetic stability. For extracellular vesicle (EV) products, Minimal Information for Studies of Extracellular Vesicles (MISEV2023) guidance adds particle size, concentration, markers, morphology, contaminants, endotoxin, and assays.

If spreadsheets are your thing, but Microsoft Office isn’t, you might want to give the open-source clone, GridCraft, a try.

Aarian Marshall / Wired: GM says it plans to debut OnStar AI, an in-car assistant that can execute vehicle functions and run diagnostics via voice commands, in the 2027 Cadillac Lyriq  —  The Detroit automaker wants your next vehicle to be a personal assistant, a best friend, and an autonomous errand-runner.

An opinion article argues that generative AI is increasing the burden on already underfunded public health institutions that distinguish evidence from plausible but unsourced claims.

A laboratory study found that removing heparan sulfate chains from perlecan in cell-derived extracellular matrix altered human stem-cell differentiation according to the matrix’s cellular origin.

Researchers at the Johns Hopkins Sidney Kimmel Comprehensive Cancer Center and Johns Hopkins Children's Center report that bone marrow transplant using half-matched family donors achieved a 96% survival rate among child, adolescent and young adult patients with severe aplastic anemia, a rare, life-threatening disorder in which the bone marrow fails to produce enough healthy blood cells. The approach expands access to potentially curative treatment for patients who do not have a fully matched donor.

New active ingredients for drugs to treat infections, cancer or other serious diseases are often based on substances originally discovered in microorganisms, plants or other living organisms. Producing or improving such active ingredients in a targeted manner using microorganisms is often challenging because the underlying biological processes are extremely complex.

A structured review found that CRISPR diagnostics for maternal–infant HIV, hepatitis B and syphilis care remain clinically unready, with HIV early infant diagnosis offering the strongest near-term development opportunity.

OpenEvidence is booming despite questions about accuracy and ads.

A 2026 review finds that CPNE7-derived peptides can promote selected tissue-repair processes in preclinical models when engineered into collagen and chitosan biomaterials.

When transplant candidates become frail, doctors often worry that they are too weak to survive transplantation.

Artificial intelligence tools are being touted as a solution for so-called pajama time – the time doctors inevitably spend compiling patient notes after working hours.

While AI offers the ability to improve human experts' ability to diagnose and treat diseases like breast cancer, well-publicized errors across the broader AI field are cause for concern.

Scientists have turned blood cells from an 80-year-old into neural stem cells with a molecular age of less than 20, effectively reversing more than 60 years of cellular aging in the laboratory. The discovery offers a new way to investigate how cells become younger and could help researchers better understand age-related diseases such as Alzheimer's.

A narrative review identifies prostate cancer stem-like cells as plausible contributors to treatment persistence and relapse while concluding that most strategies for selectively targeting them remain experimental.

When transplant candidates become frail, doctors often worry that they are too weak to survive transplantation. But according to a new study from Northwestern Medicine and the University of Pittsburgh, frailty can be significantly improved with the right personalized, physician-led fitness program.

A rat implantation study found that human umbilical cord stromal cells and their small extracellular vesicles altered selected inflammatory, fibrous and matrix-remodeling responses around vaginal mesh but did not establish clinical benefit.

It’s not always patience and luck that get patients off the organ transplant waiting list and into the operating room. Unlike in many areas of medicine, experts say there’s a lot of variation in the US transplant system. Knowing there are differences and what to ask might help. “I had to ask a lot of […] The post How US organ transplant system works appeared first on Egyptian Gazette.

A 2026 Perspective proposes a five-part design and deployment roadmap for foundation models that jointly represent donor, recipient and graft data across the transplant care continuum.

A review finds that plant-rich diets and omega-3 fatty acids may help lower skin cancer risk in solid organ transplant recipients, but limited and inconsistent clinical evidence means diet remains an adjunct to established prevention.

arXiv:2610.28199v1 Announce Type: new Abstract: This note provides exact information-theoretic outer bounds that completely characterize the storage-repair-bandwidth tradeoff regions for the cases $(n,k,d)=(6,5,5)$ and $(7,6,6)$. The layered code proposed by Tian et al. achieves the tradeoff and is thus optimal. GPT-6 Astra assisted in the discovery of these bounds, based on a new conditioning argument and a structured search over the restricted subsets of entropy linear program constraints. The proofs are given as exact integer-valued certificates, which are difficult for direct human verification, and a Python verifier is included as part of the package, together with the certificates.

arXiv:2610.28199v1 Announce Type: new Abstract: This note provides exact information-theoretic outer bounds that completely characterize the storage-repair-bandwidth tradeoff regions for the cases $(n,k,d)=(6,5,5)$ and $(7,6,6)$. The layered code proposed by Tian et al. achieves the tradeoff and is thus optimal. GPT-6 Astra assisted in the discovery of these bounds, based on a new conditioning argument and a structured search over the restricted subsets of entropy linear program constraints. The proofs are given as exact integer-valued certificates, which are difficult for direct human verification, and a Python verifier is included as part of the package, together with the certificates.

It's not always patience and luck that get patients off the organ transplant waiting list and into the operating room.

The treatment delivers a light-sensitive algae protein to the retina. Paired with special goggles, it can restore limited vision and lasts for years. The post Blind Patients Recover Partial Vision in Gene Therapy Trial appeared first on SingularityHub.

A direct-shoot regeneration protocol achieved 91.67% regeneration in sugar beet leaf explants and produced molecularly verified transgenic plants, 70% of which acclimatized successfully.

A prospective four-child Hungarian case report found remission in two cases, clinical control of graft-versus-host disease and eventual clearance of resistant organisms after repeat transplantation, while leaving a fatal fungal infection's possible donor link unresolved.

A cross-sectional survey of 53 Spanish healthcare professionals found high willingness to adopt Duchenne muscular dystrophy gene therapy, alongside concerns about safety, long-term efficacy, cost, hospital logistics and confidence in functional outcome measures.

Spirit Airlines data sale explained: see what Google's $10M purchase includes, why pilots fear for safety reporting, and when the bankruptcy court will rule.

A review finds that AI-enabled microfluidic wearables and implants could support continuous personalized monitoring, but clinical adoption requires stable materials, unbiased algorithms, interoperable systems and rigorous validation.

Рост концентрации углекислого газа в атмосфере угрожает качеству зерновых культур, но ученые нашли решение. Современные биотехнологии позволяют не только сохранить, но и повысить питательную ценность зерна, несмотря на негативное влияние...

Gene editing is moving from lab bench to approved therapies. But how should sponsors measure editing efficiency without unnecessary complexity? The post Great gene editing. Now prove it without overcomplicating the analysis appeared first on Labiotech.eu. © Labiotech UG and Labiotech.eu. Unauthorized use and/or duplication of this material without express and written permission from this site’s author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Labiotech UG and Labiotech.eu with appropriate and specific direction to the original content.

Experiments in mouse-derived astrocytes and human embryonic stem cells identify GLIS3 as an upstream regulator of astrocyte differentiation and neural gene-expression pathways.

A secondary analysis of 64 participants found no detected early patient-reported outcome differences between experimental stem-cell craniofacial reconstruction and standard grafting.

A review of human, animal and laboratory evidence shows that Raman spectroscopy and SERS can detect molecular patterns associated with kidney-transplant monitoring, donor assessment and immune-cell activation.

Solar farms and regenerative farms are rarely mentioned in the same sentence. Yet in Australia, and increasingly around the world, both are becoming pillars of the same carbon strategy. One captures carbon in the soil. The other avoids carbon by replacing fossil power. Both only work when that carbon stays put. At Shoals, we spend […] The post Carbon, crops, and kilowatts: Building renewable energy projects through regenerative land practices appeared first on Renew Economy.

A two-phase Chinese study developed an eight-domain index for assessing kidney transplantation nurse competencies, but the framework has not yet been clinically validated.

Researchers found that a previously validated 67-metabolite blood signature of Mediterranean diet adherence was associated with lower long-term mortality across a Spanish trial population and three US cohorts. Participants with the highest signature scores had a 23% lower relative hazard of death than those with the lowest scores in both populations, although the findings do not establish a causal relationship.

“That’s what you get with old people: lots of stories,” said Francis DiMento, 99. The post Brookline celebrates its centenarians at ‘Party of a Century’ appeared first on Boston.com.

A systematic review and meta-analysis of 11 randomized controlled trials involving 559 patients with stroke found that brain-computer interface training outperformed conventional rehabilitation for cognition and activities of daily living, but the evidence was rated low to very low certainty.

Mass General Brigham researchers say an AI tool can estimate cancer survival risk from a face photograph, but independent experts say it is not ready for clinical use.

Gene therapy is no longer the future of medicine—it's reality. Treatments that replace, silence or edit genes are already changing clinical care.

A 2026 review summarizes advances in CRISPR-Cas9 precision, delivery and primary-cell engineering for genetic diseases and diabetes, while the available abstract does not provide quantitative results or detailed study methods.

A meta-analysis of 16 controlled animal studies found that stem cell-based interventions improved mechanical strength, bone volume fraction and histological integration after ACL reconstruction, with the clearest effects at four to six weeks.

In an era where patients and clinicians increasingly turn to artificial intelligence for medical advice, a critical question emerges: Does AI know when not to test or treat? A new joint study from Ben-Gurion University of the Negev (BGU) and Clalit Health Services reveals that leading large language models (LLMs) successfully identify when medical interventions are redundant in the vast majority of cases, stumbling primarily in gray areas where medical consensus itself is divided.

Madison Mills / Axios: OpenAI acquires Orchestra Bio, which builds AI agents for managing drug development, and plans to integrate its tech into OpenAI life sciences suite Rosalind  —  OpenAI has acquired Orchestra Bio, a startup building AI agents to help pharmaceutical companies manage drug development, the ChatGPT maker shared exclusively with Axios.

An in vitro study combining human atrial cardiomyocytes, fibroblasts and intermittent tachypacing reproduced selected electrical, calcium-handling and fibrotic changes associated with atrial fibrillation.

Artificial intelligence tools are being touted as a solution for so-called pajama time—the time doctors inevitably spend compiling patient notes after working hours. As hospitals increasingly deploy AI scribes to listen and take notes during patient encounters, the data the scribes produce becomes the scaffold on which insights about health care, from billing to research to clinical decision-making, are built.

A study provides new details about how the brain’s motor cortex reacts when people watch actions by agents

A preclinical rat study found that healthy remodeling-phase wound factors improved mesenchymal stem-cell wound closure, tissue organization and vascular remodeling in diabetic wounds.

Pharmaceutical company is working with Oracle to advance the use of AI and data analytics in medicine

The founder of MedFlorida Medical Centers says the case for artificial intelligence in primary care is capacity, not cost-cutting. The evidence on claim denials and clinician burnout suggests he has a point.

Despite millions of years of evolution, the development of the human fetus remains a complex process that is vulnerable to genetic, environmental and metabolic disruptions. These disruptions could result in developmental abnormalities, starting with one of the first organs to begin developing in the fetus that continues to develop after birth: the brain.

A study found anti-AAV3B neutralizing antibodies in 33%–36% of healthy adults, with intermediate titers in 19% of positive individuals, while 17.4% of 23 adults with Wilson’s disease were positive with high titers.

A kidney transplant recipient’s massive gastrointestinal bleeding was traced to cytomegalovirus ulcers in the distal ileum, which were detected during double-balloon enteroscopy and confirmed by biopsy.

​University of East Anglia researchers have discovered the genetic blueprints of 18 new bacterial species collected from prostate cancer patients.

An AI-generated image imagines Melania Trump without cosmetic procedures, but the rendering is speculative and offers no evidence to support unconfirmed claims about her appearance.

The lung is divided into two main anatomical parts: the airways, called bronchioles, which carry air in and out, and the alveoli, the tiny air sacs where oxygen exchange occurs. When injury or damage occurs in either region, that region deploys its own team of specialized cells, like stem cells, to keep things working. While scientists have known that airway stem cells move into the alveoli to help repair gas-exchange tissue, can the stem cells also make the reverse journey?

An Australian clinician-led research team has developed a gene-editing platform that could give doctors more control over cell therapies, making them more practical for patients with complex immune conditions.

Scientists Just Revived Pig Kidneys Frozen for a Year. It Could Rewrite the Future of Organ Transplants  GizmodoThe Download: reviving frozen pig kidneys and boosting nuclear power  MIT Technology ReviewIron Oxide Nanoparticles Enable Revival of Pig Kidneys After a Year of Cryopreservation  InkorrPig kidneys that were “frozen” for a year have been brought back to life  MIT Technology Review

Scientists Just Revived Pig Kidneys Frozen for a Year. It Could Rewrite the Future of Organ Transplants  GizmodoThe Download: reviving frozen pig kidneys and boosting nuclear power  MIT Technology ReviewIron Oxide Nanoparticles Enable Revival of Pig Kidneys After a Year of Cryopreservation  InkorrPig kidneys that were “frozen” for a year have been brought back to life  MIT Technology Review

AstraZeneca and Oracle will use AI and real patient health data to find people for drug trials faster, the two firms announced. The deal adds to a long list of AI health tie-ups between drugmakers and tech companies. The pair signed a non-binding term sheet, so the terms are not yet final, and neither firm said or […] This story continues at The Next Web

RGX-202 met its Phase 3 Duchenne goal, and new data detail two resolved serious side effects. What families should know before a possible FDA decision.

Senescent cells accumulate with age, perhaps primarily because the aged immune system becomes less able to efficiently destroy senescent cells as it does in youth. When a cell becomes senescent it ceases to replicate, grows in size, and secretes a potent mix of pro-inflammatory, pro-growth signals that contribute to the chronic inflammation of aging and are disruptive to tissue structure and function. Here, researchers investigate some of the specific outcomes of an increased burden of cellular senescence in the aged liver. The liver is organized into tightly regulated zones with distinct metabolic functions but zonation erodes with age. Cellular senescence contributes to aging and liver diseases, however, its impact on aging biology is ill-defined. As part of The Cellular Senescence Network Consortium, we used multiple […]

A multi-year collaboration will connect PacBio's HiFi sequencing with Verily Pre, combining long-read genomic and clinical data for biomedical research and AI model development. The post ASHG: Long-Read Genomics Meets Clinical Data in PacBio, Verily Health AI Deal appeared first on GEN - Genetic Engineering and Biotechnology News.

An AI analysis of nearly 150,000 Reddit posts and comments offers the first systematic look at symptoms people attribute to gray-market retatrutide, showing how social media could guide drug safety research. People are buying unapproved versions of retatrutide, a next-generation GLP-1 weight-loss drug, and sharing their experiences on Reddit before the drug has received approval [...]

A meta-analysis of 17 studies found five-year survival of 75.0% and recurrence of 25.0% after successful downstaging and living donor liver transplantation, but fewer than half of patients who attempted downstaging proceeded to transplant.

A population-based Ontario study found limited survival among older mantle cell lymphoma patients ineligible for autologous stem cell transplantation, with median overall survival declining from 3.51 years after first-line treatment to 0.60 years after second-line treatment.

arXiv:2610.25544v1 Announce Type: cross Abstract: Reinforcement learning (RL) is increasingly proposed as a fast solver for unit commitment (UC), but standalone agents remain far more expensive than mixed-integer linear programming (MILP). In the first study of RL on the 51-generator, 72-hour benchmark of the Electric Power Research Institute (EPRI) AI-ccelerating Unit Commitment competition, we trace this gap to the agents' own exploration, close most of it, and show that the resulting policy can accelerate an exact solver. In every configuration tested, Proximal Policy Optimisation (PPO) and an action-branching Deep Q-Network (DQN) trained from scratch committed about twice the units of a thermal-only MILP optimum, at 39-64% higher cost, whereas a merit-order rule came within 1.6-7% (10-24% when unserved energy is priced). When each unit's decision is sampled independently, spare units insure against random de-commitments. Consistent with this, injecting exploration noise during

arXiv:2610.25744v1 Announce Type: new Abstract: Organ transplantation evaluation is a multi-stage process in which only patients who complete one stage remain eligible for the next, leading to patient attrition and reducing later-stage sample sizes. Covariate associations may differ across decision points, and identifying these stage-specific effects is necessary to target interventions and understand disparities. Conventional approaches that model each transition independently fail to distinguish stage-specific from shared associations and tend to produce imprecise estimates at later stages. We propose a Bayesian sequential logistic regression (BSLR) framework that represents progression as conditional Bernoulli distributions within a joint likelihood that preserves chronological ordering; we further show its equivalence to an adjusted continuation-ratio model. A hierarchical prior decomposes each covariate effect into an overall effect and a transition-specific deviation. This

arXiv:2210.01768v3 Announce Type: replace Abstract: Neurons in the brain are often finely tuned for specific task variables. Moreover, such disentangled representations are highly sought after in machine learning. Here we mathematically prove that simple biological constraints on neurons, namely nonnegativity and energy efficiency in both activity and weights, promote such sought after disentangled representations by enforcing neurons to become selective for single factors of task variation. We demonstrate these constraints lead to disentanglement in a variety of tasks and architectures, including variational autoencoders. We also use this theory to explain why the brain partitions its cells into distinct cell types such as grid and object-vector cells, and also explain when the brain instead entangles representations in response to entangled task factors. Overall, this work provides a mathematical understanding of why single neurons in the brain often represent single

arXiv:2610.25378v1 Announce Type: new Abstract: For a finite group $G$ and a subset $S\subseteq G$, the bi-Cayley graph $\operatorname{BCay}(G,S)$ has vertex set $G\times\{0,1\}$ and edges $\{(x,0),(sx,1)\}$ for $x\in G$ and $s\in S$. The group $G$ is called an $m$-BCI-group if, for all subsets $S,T\subseteq G$ with $|S|\leq m$, the isomorphism $\operatorname{BCay}(G,S)\cong\operatorname{BCay}(G,T)$ implies that $T=gS^\alpha$ for some $g\in G$ and $\alpha\in\operatorname{Aut} G$. We prove that, for every prime $p$, the generalized quaternion group $Q_{4p}$ is a $4$-BCI-group. For $p\geq5$, the proof uses regular coverings and voltage assignments: we pass to quotient graphs modulo the Sylow $p$-subgroup and lift isomorphisms between them.

A Reddit content analysis found that generative AI chatbots were most often described as tools for understanding health information and pursuing professional care, not as replacements for clinicians.

A 48-year-old woman with no history of hypertension, diabetes, coagulopathy or familial connective-tissue disorder arrived at the emergency department with a sudden, explosive thunderclap headache rated 10 out of 10, accompanied by intractable vomiting and profuse sweating.

If you've ever created a snowflake by folding, cutting and unfolding a piece of paper, you've practiced the art of kirigami. Like origami, kirigami has inspired innovations far beyond the elementary school classroom, with applications ranging from deployable structures for spacecraft to semiconductors.

Researchers are using AI tools to analyze simple facial photographs to determine key indicators of a person's health. Mass General Brigham researchers built FAHR-Face (Foundation Artificial Intelligence for Health Recognition), a large AI foundation model trained on over 40 million face images.

KAIST chemists have built an automated platform that combines robots, continuous-flow chemistry and visible light to synthesize drug candidate compounds around the clock without human intervention.

UCLA physician-scientist Donald Kohn’s election to the National Academy of Medicine honors decades of work advancing blood stem cell gene therapies for rare immune and blood disorders.

When analyzed by a new artificial intelligence model developed at Penn Medicine, CT scans reveal much about a patient's health beyond the specific condition they were originally ordered for, according to a new study published in npj Digital Medicine. The AI model, dubbed Percival, can uncover nearly hidden patterns in disease and potential future health risks that might have otherwise gone unnoticed by human eyes. While other models may need to be directed to find certain health conditions or outcomes, Percival can run in the background to pick up what is unseen.

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Chemical profiling and cell experiments show that extracts of the brown seaweed Egregia menziesii, rich in fucoidan and mannitol, safely reduce inflammatory cytokines and restore macrophage migration in LPS-activated immune cells.

Deep inside nearly every cell, a molecular cleanup crew works around the clock to keep the interior tidy. One of its most specialized branches, chaperone-mediated autophagy, or CMA, does not engulf bulky debris like conventional autophagy. Instead, it plucks individual

Researchers in China built an explainable XGBoost model using six routine admission variables to predict which mild stroke patients will fail to achieve excellent recovery at 90 days after thrombolysis.

Peter Mac scientists have developed a way to precisely target the "unique molecular fingerprint" created when two genes become abnormally fused together, a discovery that could lead to a new way to treat a wide array of cancers.

New research in cystic fibrosis rats shows that chronic Pseudomonas aeruginosa lung infection does not hinder lentiviral vector gene transfer and may actually prolong transgene expression compared with non-infected lungs.