与「oncology」相关的搜索结果

WATCH: @JavierCortesMD, highlights KEYNOTE-522 data with pembrolizumab in triple-negative breast cancer. #bcsm# #oncology# See more insights on our breast cancer page!

ARTO long-term analysis Adding SBRT to abiraterone acetate + prednisone + ADT may improve outcomes in selected patients with oligometastatic CRPC. At 53-month median follow-up • OS: not reached vs 50 mo • HR 0.55; p=0.021 • bPFS: 44 vs 18 mo • rPFS: 44 vs 17 mo • 4-yr PC-specific survival: 86.6% vs 67.7% No new safety concerns were reported. @MicheleAquilano @alessiobruni @BarbaraJereczek @GabSimontacchi @PierluigiBonomo @ChadTangMD #ProstateCancer# #GUOncology# #SBRT# #Oncology#

New in Advances in Radiation Oncology: Titanium vs Carbon/PEEK spinal implants in postoperative spine SBRT: a review of imaging, dosimetry, and clinical evidence. Key finding: Carbon/PEEK reduces CT artifact volume up to ~90% and cuts photon max dose perturbation from ~30% to ~5%; in protons, CTV underdose error drops from 17.3% to 4.1%, near implant-free levels. Why it matters: artifacts complicate contouring and dose calculation exactly where ablative dose meets spinal cord, and cleaner imaging helps detect recurrence earlier. Important caveat: clinical outcome data remain retrospective and limited; no direct contouring-accuracy comparisons exist, and Carbon/PEEK costs more. Bottom line: the dosimetric advantages are consistent and real, but improved local control is not yet proven. Randomized data (CarbonS trial) are coming. @ASTRO_org #RadOnc# #OncTwitter#

WATCH: @PTarantinoMD, of @DanaFarber, highlights the DESTINY-Breast09 trial of T-DXd plus pertuzumab in HER2-positive breast cancer. #bcsm# #oncology# See our HER2-positive breast cancer page for more insights!

Introducing #APCCC26# Live from Lugano🇨🇭Brought to you from APCCC together with @OncoAlert 🚨 Triplet vs Doublet Therapy in Metastatic Hormone-Sensitive Prostate Cancer | APCCC 2026 Expert Discussion Join Dr. Jones, Dr. Rathkopf, and Dr. Fizazi for an expert discussion on one of the most rapidly evolving questions in genitourinary oncology: the optimal treatment approach for patients with metastatic hormone-sensitive prostate cancer (mHSPC). Series Faculty @BertrandTOMBAL @ChrisSweens1 @jmmrad @drjefstathiou @CaPsurvivorship @LoebStacy @charlesryanmd @AarmstrongDuke @Ecastromarcos @LVM_Walz @piet_ost @Nicola_Fossati @AnthonyMJoshua @Prof_Nick_James @VedangMurthy @AttardLab @Silke_Gillessen @AOmlin Pinging @AmandaNizamMD @scocmem @nataliagandur @gu_onc @tompowles1 @brian_rini @declangmurphy @cdanicas @neerajaiims

EvoOntology：给数据智能体一个会成长的语义层 数据智能体（Data Agent）面对异构数据时，能“看见”的往往只有表名、列名和文件路径；指标如何定义、实体如何关联、业务上有何约束，这些语义都藏在数据之外。让智能体每次从零探索，代价高且易出语义错误；把人工维护的语义层全量注入提示词，又难以扩展、随数据漂移而失效。这就是论文中的 agent-data gap。 中国人民大学 ruc-datalab 提出的 EvoOntology（arXiv:2609.15779）给出了新解法：首个面向数据智能体的自进化本体层（Self-Evolving Ontology Layer）。核心洞察是把本体当作“可训练的智能体状态”：不更新模型权重，而让语义知识随真实使用持续积累、验证、版本化演进，每次变更可检查、可比较、可回滚。 本体以三层结构封装为 MCP 服务器，供智能体运行时主动查询： · Schema Layer 定义本体的表示边界（节点族、语义关系、引用模式）； · Content Layer 是类型化语义图，由 Terms / Mappings / Constraints / Evidence 四类节点构成，每个语义对象都有工作负载证据支撑，落地验证后才提交； · Tool Layer 仅暴露 browse_semantics 与 resolve_semantics 两个 MCP 工具加紧凑会话 manifest，智能体按需检索当前步骤所需语义，而非全量注入上下文。 本体遵循 Build → Use → Evolve → Evaluate → Publish 生命周期：构建器智能体从真实工作负载推导候选概念并对照原始数据验证；交互轨迹被持续记录；进化时诊断重复行为、归因到具体层级并生成局部补丁；候选版本只有在相同数据、相同智能体、相同解码设置与交互预算的配对评估中可复现地胜过父版本，才会发布。 在 BIRD、DDR-10K、InsightBench 三个基准、四个 LLM 骨干（GPT-5.5 / GPT-5.6-sol / Claude-Sonnet-5 / Claude-Opus-4.8）上，EvoOntology 一致优于无本体 ReAct 与静态初始本体。其中 DDR-Bench 上仅“自进化”环节就贡献了 +7.7（81.8 → 89.5），验证了持续演进相对静态语义层的增量价值。 论文： 代码：

Ethereum is both an abstract philosophical concept (the ontological Turing machine) and a practical research and development effort that aims to answer this question that pertains to the nature of Ethereum. How the nature of "Ethereum" as a protocol comes to be determined through the ACD governance mechanism, how cryptographic truth comes to be defined, and how convergent consensus is reached using majority representation of Ethereum's observers is what reduces the ontology of the world computer down to what we today call the Ethereum network. Here's how the world computer comes to be defined:

Join leading gastroenterologists, surgeons, oncologists & researchers at ISDE2026 to explore the latest advances in esophageal care and connect with experts worldwide. 📅 Sept 16–18, 2026 | Kyoto

PITN has assembled a portfolio of exact-match multilingual digital assets spanning approximately 30 of the world's most widely spoken languages and writing systems. Structured using Unicode-based normalization, transliteration, and cross-lingual terminology mapping, the portfolio is designed to function as a semantic gateway for robotics and humanoid AI. By aligning concepts such as ROBOT, ROBOTS, HUMANOID, HUMANOIDS, and HUMANOID ROBOT across native scripts, these assets may support ontology-driven knowledge organization, AI discovery, semantic search, multilingual SEO, and globally consistent concept representation as search evolves from keywords to meaning. As humanoid technologies scale worldwide, standardized multilingual semantic infrastructure may become an increasingly important layer for global interoperability and discoverability. The more compelling question is not whether this semantic layer will matter, but at what point a major robotics company will have its "aha" moment and recognize that has already assembled a semantic gateway that could be leveraged today to accelerate global multilingual concept alignment and future humanoid ecosystems. #PITNAI# #Humanoid# #HumanoidRobots# #Robotics# #Ontology# #SemanticWeb# #KnowledgeGraph# #SemanticSearch# #AI# #NLP# #Multilingual# #Unicode# #SEO# #FutureOfAI# #AgenticAI# #DigitalInfrastructure#