AI BioInsights Hub

How should researchers benchmark genomic foundation models for splice-site prediction?

SpliceAI serves as the established baseline, relying on a...

高通量蛋白质组学正将药物发现重点从“寻找有效降解剂”转向“解释并预测全蛋白组毒性”。

• 毒性机制解析：AR-HBDs在AR阴性细胞中引发广泛蛋白质响应，机器学习将肝毒性主要归因于电子传递链复合物I抑制。
• 安全优化路径：连接子区域微小修饰即可降低脱靶作用，生成毒性更低且保留AR降解活性的类似物。
• 临床转化价值：蛋白质组优化后的降解剂在去势抵抗性前列腺癌异种移植模型中显示出更低肝毒性、更强特异性和抗肿瘤活性。

LLM无需额外训练即可检测临床试验中的outcome switching，识别主要终点与报告结果的不一致。

• 在2496个测试样本上达到F1 0.78、准确率0.90，优于基线相似度模型。
• 通过提示工程、token概率分类和多数投票实现，优于传统文本相似度方法。
• 还能生成自然语言解释，助力临床证据质量控制而非仅生成文本。

AI药物发现正从“生成分子”转向“生成可合成、可测试并迭代优化的分子”。

• TechBio 3.0定义为多模态表征、生成化学与自动化实验的闭环整合
• 早期阶段仅预测或加速，TechBio 3.0通过实验反馈实时更新模型，实现端到端优化
• 可合成性成为核心瓶颈，合成感知生成设计正解决不可合成结构问题

突破仍依赖自动化实验平台与全流程验证。

• Genome-wide search of 31,565 assemblies uncovered 13,693 PiggyBac subfamilies, vastly expanding natural candidates.
• Fine-tuned ProGen2 generated...

SPARCS combines AI with high-throughput microscopy and genetic screening to link gene perturbations directly to complex cell behaviors across millions...

• High accuracy: Multimodal AI models using MRI, OCT imaging, and genomic data (transcriptomics/SNPs) reached >95% diagnostic accuracy across reviewed...

AlphaFold Server predicts structures in hours that once took months via crystallography, while Schrödinger software generates leads formerly requiring...

Vanderbilt leads a new NIH-backed consortium to turn genomic discoveries into clinical tools, but success hinges on shared infrastructure rather than...

Explainable AI drives marker selection in a hierarchical framework that resolves both continental and fine-scale East Asian population structures for forensic applications.

Rakovina's collaboration with Celvion deploys the EMphora platform to scan clinical outcomes and patient records for biomarkers, drug combinations,...

Medical device trials assess safety and effectiveness through phased studies under FDA IDE, starting with small feasibility trials before pivotal...

人类基因组计划耗时13年、花费27亿美元，如今全基因组测序仅需一天且成本大幅降低。

此转变催生欧洲多国国家基因组计划，生成群体特异性资源并支持精准医疗。

长读长测序与人工智能正共同推动群体基因组学及临床转化。

• Insilico Medicine stands out with Rentosertib, an AI-designed drug now in Phase III trials for idiopathic pulmonary fibrosis.
• NABDH's Arabic-first...

A critical review maps AI tools across the full DBTL cycle in synthetic biology and directly assesses the strength of their validation and supporting evidence.

Future Health Summit 2026 centers on AI-driven disease prediction through continuous data streams from wearables, genomics and health records, yet...

A systematic survey of 74 AI/ML studies across six data modalities for multiple sclerosis monitoring reveals limited maturity, with critical validation steps appearing in only 5.41% of studies.

BioCopy’s ValidaTe™ platform uses integrated AI and proprietary pHLA datasets to systematically predict and validate off-target interactions across...

• Denoising diffusion models drive text-to-image pipelines in generative AI
• Biotech uses include simulation, anomaly detection, and drug discovery
• Hands-on sessions cover U-Net building and CLIP-based text control

Probe-based fixed-cell Perturb-seq eliminates the traditional scale-resolution trade-off in genome-wide CRISPR screens.

• Unbiased workflow: Profiles...