Biotech Scan — Sunday, April 19, 2026

Daily biotech intelligence: FDA actions, clinical research, and sector developments.

FDA Actions

ZOLEDRONIC ACID (ZOLEDRONIC ACID) — Approved | MYLAN LABS LTD | 20230307

LAMOTRIGINE (LAMOTRIGINE) — Approved | ALEMBIC PHARMS LTD | 20160902

ABREVA (DOCOSANOL) — Approved | HALEON US HOLDINGS | 20021213

LURASIDONE HYDROCHLORIDE (LURASIDONE HYDROCHLORIDE) — Approved | TORRENT | 20260413

SPRAVATO (ESKETAMINE HYDROCHLORIDE) — Approved | JANSSEN PHARMS | 20220103

Recent Research

Unity and Diversity of Intracellular pH Maintenance Mechanisms

Guillaume Terradot, Vincent Danos

All cells must sustain ionic motive forces (IMFs) -- the electrochemical gradients of permeant ions, together with the membrane potential they produce -- to regulate intracellular pH, drive secondary transport, and power ATP synthesis. Because membranes are imperfectly impermeable, IMFs continuously

Cell-cell adhesion cannot sustain extended follower streams in a minimal non-local model of leader-follower migration

Thomas Jun Jewell, Samuel W. S. Johnson

Cell-cell adhesion is widely hypothesised to maintain cohesion within the long streams of follower cells that trail leader subpopulations during collective migration, including in neural crest cell migration, angiogenesis, and cancer cell invasion. Mathematically, non-local advection-diffusion equat

PUFFIN: Protein Unit Discovery with Functional Supervision

Gökçe Uludoğan, Buse Giledereli

Proteins carry out biological functions through the coordinated action of groups of residues organized into structural arrangements. These arrangements, which we refer to as protein units, exist at an intermediate scale, being larger than individual residues yet smaller than entire proteins. A deepe

Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection

Austin Talbot, Alex V. Kotlar

Targeted amplicon panels are widely used in oncology diagnostics, but providing per-gene performance guarantees for copy number variant (CNV) detection remains challenging due to amplification artifacts, process-mismatch heterogeneity, and limited validation sample sizes. While Bayesian CNV callers

A deep learning framework for glomeruli segmentation with boundary attention

Behnaz Elhaminia, Catherine King

Accurate detection and segmentation of glomeruli in kidney tissue are essential for diagnostic applications. Traditional deep learning methods primarily rely on semantic segmentation, which often fails to precisely delineate adjacent glomeruli. To address this challenge, we propose a novel glomerulu

Continual Learning for fMRI-Based Brain Disorder Diagnosis via Functional Connectivity Matrices Generative Replay

Qianyu Chen, Shujian Yu

Functional magnetic resonance imaging (fMRI) is widely used for studying and diagnosing brain disorders, with functional connectivity (FC) matrices providing powerful representations of large-scale neural interactions. However, existing diagnostic models are trained either on a single site or under

This briefing is compiled automatically from FDA public APIs and arXiv. Not investment advice.