Most people who responded to a personalized neoantigen vaccine were alive and still had activated T cells up to six years after surgery.
Post et al. develop a screening method to identify cell-penetrating peptides (CPPs) encoded by human gut microorganisms. They thereby discovered a peptide which preferentially enters cancer cell lines over healthy cell lines.
Abstract. Intracellular delivery of therapeutics remains a major challenge for modern medicine. To enhance intracellular uptake, therapeutics can be delivered with carrier proteins possessing an inherent cell-penetrating activity. There is an increasing need for new cell-penetrating carriers with diverse biophysical properties and mechanisms of action to transport a wide range of therapeutic cargo. As many cell-penetrating proteins and peptides derive from natural proteins, we sought to mine a previously unexplored community, the human gut microbiome, for cell-penetrating sequences. Here, we performed a high-throughput functional metagenomic screen to identify cell-penetrating protein fragments from the human gut microbiome. We identified protein fragments encoded within glycosidase enzymes from members of the Bacteroidetes phylum that mediate internalization into human cell lines when displayed on the surface of nonpathogenic, noninvasive Escherichia coli. We investigate one fragment, dubbed Gh_112, that adheres to human fibronectin, activates multiple endocytic pathways, and specifically promotes uptake of E. coli into multiple cancerous epithelial cell lines rather than healthy epithelial tissue in vitro. Overall, this work demonstrates that the human gut microbiome is a source of cell-penetrating sequences and expands the known repertoire of cell-penetrating carrier systems.
To bridge this gap, researchers have developed greCAPTCHA—a proctored testing system designed to measure an author’s “capacity to verify.” Instead of just checking who wrote the text, greCAPTCHA tests whether the authors possess the deep knowledge and critical reasoning required to understand and defend the core ideas in their manuscript.
School of Computer Science is at the forefront of all facets of computing research and education.
A highly publicized August 2026 pre-print paper led by researchers Peter Kirgis and Sayash Kapoor at Princeton University has delivered a decisive blow to one of Silicon Valley’s most cherished narratives: that artificial intelligence is on the verge of recursively improving itself into superintelligence. The study’s findings are unambiguous—current AI agents, despite their impressive coding abilities, fundamentally lack the creative scientific judgment required to conduct original machine learning research.
◆ Emerald Pages ◆ artificial intelligence How a New Princeton Study Disproves AI Self-Improvement Alarmism Emerald Book Publication September 16, 2026 7 min read A landmark Princeton study proves current AI models cannot recursively self-improve, exposing both the industry’s grand promises and its whistleblower panic as fundamentally disconnected from how the technology actually works. Photo:
A targeted cancer treatment given via a simple injection under the skin shrank tumours in more than one third of patients with recurrent and/or metastatic head and neck cancer whose disease has stopped responding to standard treatments.
New results from phase Ib/II OrigAMI‑4 clinical trial, by scientists from The Institute of Cancer Research, London, and presented at the American Society of Clinical Oncology (ASCO) Annual Meeting, confirmed tumour shrinkage in 42 per cent of patients treated with the drug amivantamab, alongside encouraging survival outcomes in a group of patients who until now had very limited options. The results, published in the Journal of Clinical Oncology, are based on blinded independent central review (BICR), where outcomes were checked by external experts who did not know which treatment each patient received, helping ensure the results are fair, unbiased, and reliable.
Researchers say the findings provide very strong evidence to support the further development of amivantamab as a potential treatment for head and neck cancer, a disease which affects around 12,800 people in the UK each year and is the sixth most common cancer worldwide.
Every startup now has an “AI breakthrough.” Often a blockchain one, too.
Then I noticed a second fad growing just as fast: the ethicists. AI ethicists. Blockchain ethicists. Startup ethicists. VC ethicists. Unicorn ethicists. Someone called them “ethics natives.”
So back in 2024 I wrote a short, blunt piece arguing something that still gets me in trouble:
There is no such thing as tech There is only
And one other thing, which I’ll let the piece name for itself.
This isn’t a word game. Most of the #AIEthics I see starts with the trolley problem and works outward from edge cases. I think that’s backward, and in the piece I explain why it may do more harm than good.
‘It’s open source so it’s basically American now’
This site displays a prototype of a “Web 2.0” version of the daily Federal Register. It is not an official legal edition of the Federal Register, and does not replace the official print version or the official electronic version on GPO’s govinfo.gov.
The documents posted on this site are XML renditions of published Federal Register documents. Each document posted on the site includes a link to the corresponding official PDF file on govinfo.gov. This prototype edition of the daily Federal Register on FederalRegister.gov will remain an unofficial informational resource until the Administrative Committee of the Federal Register (ACFR) issues a regulation granting it official legal status. For complete information about, and access to, our official publications and services, go to About the Federal Register on NARA’s archives.gov.
The OFR/GPO partnership is committed to presenting accurate and reliable regulatory information on FederalRegister.gov with the objective of establishing the XML-based Federal Register as an ACFR-sanctioned publication in the future. While every effort has been made to ensure that the material on FederalRegister.gov is accurately displayed, consistent with the official SGML-based PDF version on govinfo.gov, those relying on it for legal research should verify their results against an official edition of the Federal Register. Until the ACFR grants it official status, the XML rendition of the daily Federal Register on FederalRegister.gov does not provide legal notice to the public or judicial notice to the courts.