- Boosting Patient Engagement: A Controlled Study on an Interprofessional Evidence-Based Counseling Program for Integrative Cancer Care
- Enhancing Competitiveness in Volatile Markets Through Platform Ecosystems and Organizational Capabilities
- Princeton Chemists Create Copper-Detection Tool to Identify Potential Chelation Targets for Lung Cancer
- A Method for Identifying Prenatal Depression Through Semantic Embedding Techniques
- Unlocking the Secrets of Reward Learning: A Potential Pathway for Depression Treatment
- New Advances in SIDS Research May Help Identify Infants at Increased Risk of Sudden Unexpected Death
- Single Dose Drug Candidate Successfully Eradicates Breast Cancer Tumors in Mouse Models
- Revolutionary Green Tea Adhesive Films Present Innovative Solution for Oral Mucositis Treatment
- Unveiling Single-Cell Elemental Insights with Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
- BioChatter: Unlocking Access to Large Language Models for Biomedical Research
- Numerous Pathways to the Embryo: Unraveling Developmental Mysteries
- Exploring the Impact of Sleep Apnea Treatment on Car Accident Risk Among Patients
- How Employee Confidence in AI Enhances Performance and Encourages Adoption
- Unraveling the Mechanisms Behind Behavioral Side Effects of Common Weight Loss Medications
- Exploring New Horizons in Organic Chemistry: Synthesis of a Promising Compound From Mushrooms