American Chemical Society

Innovative Programing Sustainability Community Start-Up Community Oral - In-person COMSCI: Committee on Science Co-sponsor - Nominal - AGRO: Division of Agrochemicals Co-sponsor - Nominal - PROF: Division of Professional Relations Co-sponsor - Nominal - AGFD: Division of Agricultural and Food Chemistry Co-sponsor - Nominal - TOXI: Division of Chemical Toxicology Co-sponsor - Nominal - CHED: Division of Chemical Education Chemistry is Everything We Eat: Building the Next 150 Years of Food

Central nervous system (CNS) drug development remains one of the most challenging areas in biopharmaceutical research, with historically high rates of clinical attrition often driven by limitations in target validation, brain exposure, delivery strategies, safety assessment, and translational predictability.

The Problem Closed-loop experimentation has the potential to dramatically accelerate scientific discovery, but building the infrastructure to connect automation, analytics and scientific decision-making can be a major undertaking. Researchers often spend valuable time integrating software, moving data between systems and developing custom workflows instead of advancing their science. The Solution Stuntman provides an AI-ready, flexible framework for continuous experimentation.

Chemical Technical Professionals (CTPs) are the people who make chemistry happen. From the lab to the production floor, CTPs apply technical expertise, hands-on skills, and problem-solving know-how to turn scientific ideas into real-world results. Join three CTPs as they share their career journeys, take you behind the scenes of their technical roles, and reveal how their work drives innovation across the chemical enterprise.

Moving a molecule from discovery through early clinical development is rarely a straight path. Development teams must navigate technical and operational hurdles, including scale-up challenges, evolving impurity profiles, formulation issues, unexpected toxicology findings and the constant pressure to meet critical development milestones and clinical timelines.

YAKOBCHUK VIACHESLAV/Shutterstock.com Traditional chemotherapy impacts all fast-growing cells in the body. So, scientists are investigating targeted therapies, which aim to focus on specific molecular components within cancer cells. One type of targeted therapy involves modifying the cancer cells so that the body's immune system recognizes and eliminates the cancer cells more efficiently. But sometimes these therapies impact healthy cells, too.

Sam Jones: Welcome to Tiny Show and Tell Us, the bonus series where you write in with your favorite science news or factoid. We read your email aloud and then we dive deeper. I'm Sam Jones and I'm here with my co-host, Deboki Chakravarti as always. And today we are also joined by Matt Gabriele, creator and host of American Medieval. Hi Matt. Matt Gabriele: Hello. Thank you guys for having me. I'm really excited to be here. Sam Jones: Yeah. Yeah, we're psyched too.

Many rechargeable devices use lithium-ion technology and contain flammable electrolytes. Additionally, they are hard to recycle because the components don't come apart easily. So, Tse Nga Ng, Nandu Koripally, and colleagues searched for a more sustainable approach for compact energy storage. Their work led them to develop a supercapacitor that used zinc ions in a water-based, non-flammable electrolyte, dissolvable adhesives, and reusable electrically conductive materials.

While minerals in rocks contain large amounts of magnesium, this element is also present in the oceans, where it is the second most abundant cation after sodium. "We have traditionally thought of seawater as something to desalinate and protect, but it is an enormous reservoir of valuable resources," says David Kim, the first author of the study.

Artificial intelligence is rapidly transforming drug discovery, with applications ranging from hit identification and lead optimization to the design of entirely new therapeutic molecules. Yet important questions remain: Which approaches are delivering real-world results? How are researchers integrating machine learning with experimental biology and chemistry? And what challenges still stand between promising algorithms and life-changing medicines?