🤖 AI in Healthcare - Clinical AI for Rural Hospitals
RapidAI's decision support and Gravity's Supernova Stent Retriever help care teams make faster treatment decisions in rural hospitals across India's stroke network. This collaboration brings enterprise-grade clinical AI to underserved areas, improving patient outcomes and reducing healthcare disparities.
Key Points:
Clinical AI for Rural Hospitals: RapidAI and Gravity Medical Technology collaborate to bring AI-powered decision support to rural hospitals in India, improving stroke treatment and patient outcomes.
Enterprise-Grade Clinical AI: This collaboration leverages enterprise-grade clinical AI to provide accurate and timely decision support to care teams, reducing healthcare disparities and improving patient outcomes.
Stroke Treatment: The Supernova Stent Retriever and RapidAI's decision support system help care teams make faster treatment decisions, improving patient outcomes and reducing mortality rates.
🔗 Resources:
- Original post ↗
- RapidAI
- Gravity Medical Technology
- Supernova Stent Retriever
🧠 Blood Flow and Cortical Layers
Blood flow tracked cell-dense cortical layers in most regions, strongest in visual and sensorimotor cortex—an MRI measure that may capture metabolic organization beyond total blood flow.
Key Points:
Blood Flow and Cortical Layers: Blood flow tracked cell-dense cortical layers in most regions, strongest in visual and sensorimotor cortex, providing insights into metabolic organization.
MRI Measure: This MRI measure may capture metabolic organization beyond total blood flow, providing a more nuanced understanding of brain function.
Metabolic Organization: The study highlights the importance of metabolic organization in understanding brain function and disease.
🔗 Resources:
- Original post ↗
- @KeckSchool_USC
- @NatureComms
🧬 Understanding Ovarian Cancer
Understanding the complex immune landscape of platinum-resistant #ovariancancer (PROC) is critical to advancing targeted therapies. In a recent analysis featured in the Tempus Lens Library, researchers evaluated B7-H4 co-expression and PD-L1 prevalence in patients with PROC.
Key Points:
Immune Landscape of Ovarian Cancer: The study highlights the importance of understanding the complex immune landscape of platinum-resistant ovarian cancer in advancing targeted therapies.
B7-H4 Co-expression and PD-L1 Prevalence: Researchers evaluated B7-H4 co-expression and PD-L1 prevalence in patients with PROC, providing insights into the immune landscape of the disease.
Targeted Therapies: The study emphasizes the need for targeted therapies that take into account the complex immune landscape of ovarian cancer.
🔗 Resources:
- Original post ↗
- Tempus Lens Library
🚫 No AI Applicant Tracking System
I’m 0 years old. I do pharmaceuticals. AI changed basically everything. Despite what our founder seems to think, Twitter replies are not our applicant tracking system. Actually want to work here? Email us!
Key Points:
No AI Applicant Tracking System: The company emphasizes that Twitter replies are not their applicant tracking system, and they prefer email applications.
AI in Pharmaceuticals: The founder highlights the impact of AI on the pharmaceutical industry, but notes that it is not used for applicant tracking.
Email Applications: The company encourages interested candidates to email their applications.
🔗 Resources:
- Original post ↗
- Ronan_RX
🚫 No AI-Driven Hiring Process
If you want to apply for any of these roles, email founders@ronanrx.com with your resume and a paragraph telling us: • What you do • Why you want to work here • How AI has changed the way you work • What prompt, agent, or workflow is keeping you awake at 1:17am because
Key Points:
No AI-Driven Hiring Process: The company emphasizes that they do not use AI for their hiring process, and instead prefer email applications.
Email Applications: Interested candidates are encouraged to email their applications, including a resume and a paragraph explaining their qualifications.
AI in the Workplace: The founder highlights the impact of AI on the workplace, but notes that it is not used for hiring decisions.
🔗 Resources:
- Original post ↗
- Ronan_RX
🧬 Predicting Drug Safety
26 drug safety tasks. 1 model. Potency gets the headlines. Safety decides whether the molecule can become a drug. Our 4B InsilicoMMAI-Chem-ADMET model predicts safety, metabolism and PK endpoints across a single specialist model. SOTA+ on 7 tasks Trained on 140K+ data points.
Key Points:
Predicting Drug Safety: The company's 4B InsilicoMMAI-Chem-ADMET model predicts safety, metabolism, and PK endpoints across a single specialist model.
SOTA+ on 7 Tasks: The model achieves state-of-the-art performance on 7 tasks, demonstrating its effectiveness in predicting drug safety.
Trained on 140K+ Data Points: The model is trained on a large dataset of 140K+ data points, providing a robust foundation for its predictions.
🔗 Resources:
- Original post ↗
- InSilicoMeds
🧬 Predicting Drug Metabolism
The 7 SOTA+ tasks answer some very practical drug discovery questions: Will it inhibit CYP1A2, CYP2C9, CYP2C19 or CYP3A4? Is it cytotoxic in HEK293 cells? How strongly does it bind plasma proteins in humans and mice? Same data. Same split. Better than Chemeleon, our model achieves SOTA+ on all 7 tasks.
Key Points:
Predicting Drug Metabolism: The company's model predicts drug metabolism, including inhibition of CYP enzymes and cytotoxicity in HEK293 cells.
SOTA+ on 7 Tasks: The model achieves state-of-the-art performance on 7 tasks, demonstrating its effectiveness in predicting drug metabolism.
Better than Chemeleon: The model outperforms Chemeleon on all 7 tasks, highlighting its superiority in predicting drug metabolism.
🔗 Resources:
- Original post ↗
- InSilicoMeds
🧬 ADC Sequencing in Bladder Cancer
How do we sequence ADCs after EVP in advanced bladder cancer. @DrRosenbergMSK Switching payload appears more important than switching target. iZABREN (HER1/3 Topo1) vs platinum chemo and SACTMT (TROP2/TOPO1 vs taxane) in EVP resistant disease are enrolling #GuardSymposium2026
Key Points:
ADC Sequencing in Bladder Cancer: The study highlights the importance of sequencing ADCs after EVP in advanced bladder cancer, particularly in EVP-resistant disease.
Switching Payload vs Target: The study suggests that switching payload may be more important than switching target in ADC sequencing.
Enrolling Studies: The study notes that several studies are enrolling, including iZABREN and SACTMT, to investigate ADC sequencing in bladder cancer.
🔗 Resources:
- Original post ↗
- @DrRosenbergMSK
🧠 Personalized Health Data
Meet MIZAR, now in Theta. Your health data deserves context. MIZAR helps you find people with similar health characteristics and everyday habits—giving you a more relevant point of reference. Discover Theta: https://thetahealth.ai ↗
Key Points:
Personalized Health Data: MIZAR provides personalized health data by matching users with similar health characteristics and everyday habits.
Contextual Health Data: The platform offers contextual health data, providing users with a more relevant point of reference.
Theta Health: The platform is now available on Theta Health, a platform that provides a more personalized and contextual health experience.
🔗 Resources:
- Original post ↗
- Theta Health
🧬 Breast Cancer Prognosis
Today we're announcing results from a clinical study validating Ataraxis Breast (ATX) in the Phase III TAILORx trial data, showing that ATX is both prognostic for recurrence and predictive of chemotherapy benefit in breast cancer patients. Full study: https://go.ataraxis.ai/ctx-tailorx ↗
Key Points:
Breast Cancer Prognosis: The study validates Ataraxis Breast (ATX) as a prognostic marker for recurrence and predictive of chemotherapy benefit in breast cancer patients.
Phase III TAILORx Trial Data: The study uses data from the Phase III TAILORx trial to demonstrate the effectiveness of ATX in predicting breast cancer outcomes.
Full Study: The full study is available on the Ataraxis website.
🔗 Resources:
- Original post ↗
- Ataraxis AI
