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Aithan Shapira

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Optimized For Humans: SE01E03 - Harnessing Human Potential in the Age of AI | with Aithan Shapira

<p>In this conversation, Usha Gubbala and Aithan Shapira explore the intersection of human potential and artificial intelligence in organizational contexts. They discuss the importance of adult development in leadership, the challenges of navigating VUCA (volatile, uncertain, complex, and ambiguous) environments, and the role of AI in decision-making. The dialogue emphasizes the need for human connection and collective intelligence in leveraging AI effectively, while also considering the long-term implications of leadership choices on organizational evolution and shareholder value.</p><p>I hope you enjoy this episode!<br> Give it a like, share, and subscribe to not miss the content coming y...

The Midlife Chrysalis: Losing Everything to Find Purpose: Aithan Shapira’s Midlife Shift

<p>What if losing everything was the only way to truly find yourself?</p><p>MIT lecturer and artist Aithan Shapira shares how the collapse of his art career became the catalyst for profound reinvention. </p><p>He explains why midlife isn’t about decline but transformation , a time to practice letting go, reframe purpose, and reconnect with what matters most. </p><p>If you’re in a season of change, this episode will help you see midlife as your greatest canvas yet. </p><p><br /></p><p>Timestamps:</p><p>00:00 Intro</p><p>01:17  Meet Aithan Shapira</p><p>04:05 Living Betwee...

Aithan Shapira | limeSHIFT

Aithan Shapira's paintings and prints are the result of taking the natural world apart and putting it back together confronting all perspectives.

About Fourth Space Design - Medium

Srini Pillay, M.D., a Harvard-trained psychiatrist and brain researcher and MIT's Aithan Shapira with a Ph.D. in creativity have joined forces to bring you ...

Aithan Shapira - HATCH

Aithan Shapira ... Artist, Dad, Lecturer @ MIT Sloan, Founder @ Making to Think, a pedagogy for change that's enabling organizations, governments, and Fortune 100 ...

Identification of non‐glandular trichome hairs in cannabis using vision‐based deep learning methods

The detection of cannabis and cannabis‐related products is a critical task for forensic laboratories and law enforcement agencies, given their harmful effects. Forensic laboratories analyze large quantities of plant material annually to identify genuine cannabis and its illicit substitutes. Ensuring accurate identification is essential for supporting judicial proceedings and combating drug‐related crimes. The naked eye alone cannot distinguish between genuine cannabis and non‐cannabis plant material that has been sprayed with synthetic cannabinoids, especially after distribution into the market. Reliable forensic identification typically requires two colorimetric tests (Duquenois‐Levine and Fast Blue BB), as well as a drug laboratory expert test for affirmation or negation of cannabis hair (non‐glandular trichomes), making the process time‐consuming and resource‐intensive. Here, we propose a novel deep learning‐based computer vision method for identifying non‐glandular trichome hairs in cannabis. A dataset of several thousand annotated microscope images was collected, including genuine cannabis and non‐cannabis plant material apparently sprayed with synthetic cannabinoids. Ground‐truth labels were established using three forensic tests, two chemical assays, and expert microscopic analysis, ensuring reliable classification. The proposed method demonstrated an accuracy exceeding 97% in distinguishing cannabis from non‐cannabis plant material. These results suggest that deep learning can reliably identify non‐glandular trichome hairs in cannabis based on microscopic trichome features, potentially reducing reliance on costly and time‐consuming expert microscopic analysis. This framework provides forensic departments and law enforcement agencies with an efficient and accurate tool for identifying non‐glandular trichome hairs in cannabis, supporting efforts to combat illicit drug trafficking.

CD28-costimulated CD19 CAR-T cells for pediatric mature non-Hodgkin B-cell lymphoma

Children with relapsed or refractory (R/R) mature B-cell non-Hodgkin lymphoma (B-NHL) have a poor prognosis with approved therapies. Chimeric antigen receptor (CAR)-T cells are approved for adults with R/R B-NHL, but pediatric data is lacking. We report on 13 children with R/R mature B-NHL enrolled on a clinical trial for CD19 CAR-T cells harboring CD28 costimulation. Twelve patients were infused with CAR-T cells, and one had progressed and died prior to infusion. Toxicities included cytokine release syndrome in 8 patients and neurotoxicity in 6, including two patients with grade 4 neurotoxicity. All patients responded to CAR-T cells, including a complete response in 6, complete metabolic response in 2 and partial response in four. The median event-free survival was 15.2 months and median overall survival was not reached. Outcome differed by disease type, as most patients with primary mediastinal B-cell lymphoma had long term remissions, while only two of seven patients with Burkitt lymphoma were long term survivors. Thus, initial response may suffice for certain patients, but further consolidative strategies should be studied in patients with R/R Burkitt lymphoma.